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tomography</title> <meta name="description" content="Search results for: computer tomography"> <meta name="keywords" content="computer tomography"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="computer tomography"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2752</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: computer tomography</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2752</span> Using Electrical Impedance Tomography to Control a Robot</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shayan%20Rezvanigilkolaei">Shayan Rezvanigilkolaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Shayesteh%20Vefaghnematollahi"> Shayesteh Vefaghnematollahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electrical impedance tomography is a non-invasive medical imaging technique suitable for medical applications. This paper describes an electrical impedance tomography device with the ability to navigate a robotic arm to manipulate a target object. The design of the device includes various hardware and software sections to perform medical imaging and control the robotic arm. In its hardware section an image is formed by 16 electrodes which are located around a container. This image is used to navigate a 3DOF robotic arm to reach the exact location of the target object. The data set to form the impedance imaging is obtained by having repeated current injections and voltage measurements between all electrode pairs. After performing the necessary calculations to obtain the impedance, information is transmitted to the computer. This data is fed and then executed in MATLAB which is interfaced with EIDORS (Electrical Impedance Tomography Reconstruction Software) to reconstruct the image based on the acquired data. In the next step, the coordinates of the center of the target object are calculated by image processing toolbox of MATLAB (IPT). Finally, these coordinates are used to calculate the angles of each joint of the robotic arm. The robotic arm moves to the desired tissue with the user command. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrical%20impedance%20tomography" title="electrical impedance tomography">electrical impedance tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=EIT" title=" EIT"> EIT</a>, <a href="https://publications.waset.org/abstracts/search?q=surgeon%20robot" title=" surgeon robot"> surgeon robot</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20processing%20of%20electrical%20impedance%20tomography" title=" image processing of electrical impedance tomography"> image processing of electrical impedance tomography</a> </p> <a href="https://publications.waset.org/abstracts/43250/using-electrical-impedance-tomography-to-control-a-robot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43250.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">272</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2751</span> Measuring the Cavitation Cloud by Electrical Impedance Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michal%20Malik">Michal Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiri%20Primas"> Jiri Primas</a>, <a href="https://publications.waset.org/abstracts/search?q=Darina%20Jasikova"> Darina Jasikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Michal%20Kotek"> Michal Kotek</a>, <a href="https://publications.waset.org/abstracts/search?q=Vaclav%20Kopecky"> Vaclav Kopecky</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is a case study dealing with the viability of using Electrical Impedance Tomography for measuring cavitation clouds in a pipe setup. The authors used a simple passive cavitation generator to cause a cavitation cloud, which was then recorded for multiple flow rates using electrodes in two measuring planes. The paper presents the results of the experiment, showing the used industrial grade tomography system ITS p2+ is able to measure the cavitation cloud and may be particularly useful for identifying the inception of cavitation in setups where other measuring tools may not be viable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cavitation%20cloud" title="cavitation cloud">cavitation cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=conductivity%20measurement" title=" conductivity measurement"> conductivity measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20impedance%20tomography" title=" electrical impedance tomography"> electrical impedance tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanically%20induced%20cavitation" title=" mechanically induced cavitation"> mechanically induced cavitation</a> </p> <a href="https://publications.waset.org/abstracts/84715/measuring-the-cavitation-cloud-by-electrical-impedance-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84715.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">248</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2750</span> Diagnosis and Analysis of Automated Liver and Tumor Segmentation on CT</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20R.%20Ramsheeja">R. R. Ramsheeja</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Sreeraj"> R. Sreeraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For view the internal structures of the human body such as liver, brain, kidney etc have a wide range of different modalities for medical images are provided nowadays. Computer Tomography is one of the most significant medical image modalities. In this paper use CT liver images for study the use of automatic computer aided techniques to calculate the volume of the liver tumor. Segmentation method is used for the detection of tumor from the CT scan is proposed. Gaussian filter is used for denoising the liver image and Adaptive Thresholding algorithm is used for segmentation. Multiple Region Of Interest(ROI) based method that may help to characteristic the feature different. It provides a significant impact on classification performance. Due to the characteristic of liver tumor lesion, inherent difficulties appear selective. For a better performance, a novel proposed system is introduced. Multiple ROI based feature selection and classification are performed. In order to obtain of relevant features for Support Vector Machine(SVM) classifier is important for better generalization performance. The proposed system helps to improve the better classification performance, reason in which we can see a significant reduction of features is used. The diagnosis of liver cancer from the computer tomography images is very difficult in nature. Early detection of liver tumor is very helpful to save the human life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography%20%28CT%29" title="computed tomography (CT)">computed tomography (CT)</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20region%20of%20interest%28ROI%29" title=" multiple region of interest(ROI)"> multiple region of interest(ROI)</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20values" title=" feature values"> feature values</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM%20classification" title=" SVM classification"> SVM classification</a> </p> <a href="https://publications.waset.org/abstracts/18207/diagnosis-and-analysis-of-automated-liver-and-tumor-segmentation-on-ct" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18207.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">509</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2749</span> Microwave Tomography: The Analytical Treatment for Detecting Malignant Tumor Inside Human Body</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Hassan%20Khalil">Muhammad Hassan Khalil</a>, <a href="https://publications.waset.org/abstracts/search?q=Xu%20Jiadong"> Xu Jiadong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Early detection through screening is the best tool short of a perfect treatment against the malignant tumor inside the breast of a woman. By detecting cancer in its early stages, it can be recognized and treated before it has the opportunity to spread and change into potentially dangerous. Microwave tomography is a new imaging method based on contrast in dielectric properties of materials. The mathematical theory of microwave tomography involves solving an inverse problem for Maxwell’s equations. In this paper, we present designed antenna for breast cancer detection, which will use in microwave tomography configuration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microwave%20imaging" title="microwave imaging">microwave imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20scattering" title=" inverse scattering"> inverse scattering</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=malignant%20tumor%20detection" title=" malignant tumor detection"> malignant tumor detection</a> </p> <a href="https://publications.waset.org/abstracts/2719/microwave-tomography-the-analytical-treatment-for-detecting-malignant-tumor-inside-human-body" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2719.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">371</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2748</span> 3D Printed Multi-Modal Phantom Using Computed Tomography and 3D X-Ray Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sung-Suk%20Oh">Sung-Suk Oh</a>, <a href="https://publications.waset.org/abstracts/search?q=Bong-Keun%20Kang"> Bong-Keun Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang-Wook%20Park"> Sang-Wook Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui-Jin%20Joo"> Hui-Jin Joo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong-Ryul%20Choi"> Jong-Ryul Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seong-Jun%20Lee"> Seong-Jun Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeong-Woo%20Sohn"> Jeong-Woo Sohn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The imaging phantom is utilized for the verification, evaluation and tuning of the medical imaging device and system. Although it could be costly, 3D printing is an ideal technique for a rapid, customized, multi-modal phantom making. In this article, we propose the multi-modal phantom using 3D printing. First of all, the Dicom images for were measured by CT (Computed Tomography) and 3D X-ray systems (PET/CT and Angio X-ray system of Siemens) and then were analyzed. Finally, the 3D modeling was processed using Dicom images. The 3D printed phantom was scanned by PET/CT and MRI systems and then evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=imaging%20phantom" title="imaging phantom">imaging phantom</a>, <a href="https://publications.waset.org/abstracts/search?q=MRI%20%28Magnetic%20Resonance%20Imaging%29" title=" MRI (Magnetic Resonance Imaging)"> MRI (Magnetic Resonance Imaging)</a>, <a href="https://publications.waset.org/abstracts/search?q=PET%20%2F%20CT%20%28Positron%20Emission%20Tomography%20%2F%20Computed%20Tomography%29" title=" PET / CT (Positron Emission Tomography / Computed Tomography)"> PET / CT (Positron Emission Tomography / Computed Tomography)</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20printing" title=" 3D printing "> 3D printing </a> </p> <a href="https://publications.waset.org/abstracts/62972/3d-printed-multi-modal-phantom-using-computed-tomography-and-3d-x-ray-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62972.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">580</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2747</span> Image Processing Approach for Detection of Three-Dimensional Tree-Rings from X-Ray Computed Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jorge%20Martinez-Garcia">Jorge Martinez-Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Ingrid%20Stelzner"> Ingrid Stelzner</a>, <a href="https://publications.waset.org/abstracts/search?q=Joerg%20Stelzner"> Joerg Stelzner</a>, <a href="https://publications.waset.org/abstracts/search?q=Damian%20Gwerder"> Damian Gwerder</a>, <a href="https://publications.waset.org/abstracts/search?q=Philipp%20Schuetz"> Philipp Schuetz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tree-ring analysis is an important part of the quality assessment and the dating of (archaeological) wood samples. It provides quantitative data about the whole anatomical ring structure, which can be used, for example, to measure the impact of the fluctuating environment on the tree growth, for the dendrochronological analysis of archaeological wooden artefacts and to estimate the wood mechanical properties. Despite advances in computer vision and edge recognition algorithms, detection and counting of annual rings are still limited to 2D datasets and performed in most cases manually, which is a time consuming, tedious task and depends strongly on the operator’s experience. This work presents an image processing approach to detect the whole 3D tree-ring structure directly from X-ray computed tomography imaging data. The approach relies on a modified Canny edge detection algorithm, which captures fully connected tree-ring edges throughout the measured image stack and is validated on X-ray computed tomography data taken from six wood species. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ring%20recognition" title="ring recognition">ring recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detection" title=" edge detection"> edge detection</a>, <a href="https://publications.waset.org/abstracts/search?q=X-ray%20computed%20tomography" title=" X-ray computed tomography"> X-ray computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=dendrochronology" title=" dendrochronology"> dendrochronology</a> </p> <a href="https://publications.waset.org/abstracts/130684/image-processing-approach-for-detection-of-three-dimensional-tree-rings-from-x-ray-computed-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130684.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">221</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2746</span> O-(2-18F-Fluoroethyl)-L-Tyrosine Positron Emission Tomography/Computed Tomography in Patients with Suspicious Recurrent Low and High-Grade Glioma</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahkameh%20Asadi">Mahkameh Asadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Habibollah%20Dadgar"> Habibollah Dadgar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The precise definition margin of high and low-grade glioma is crucial for choosing best treatment approach after surgery and radio-chemotherapy. The aim of the current study was to assess the O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET) positron emission tomography (PET)/computed tomography (CT) in patients with low (LGG) and high grade glioma (HGG). We retrospectively analyzed 18F-FET PET/CT of 10 patients (age: 33 ± 12 years) with suspicious for recurrent LGG and HGG. The final decision of recurrence was made by magnetic resonance imaging (MRI) and registered clinical data. While response to radio-chemotherapy by MRI is often complex and sophisticated due to the edema, necrosis, and inflammation, emerging amino acid PET leading to better interpretations with more specifically differentiate true tumor boundaries from equivocal lesions. Therefore, integrating amino acid PET in the management of glioma to complement MRI will significantly improve early therapy response assessment, treatment planning, and clinical trial design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=positron%20emission%20tomography" title="positron emission tomography">positron emission tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=amino%20acid%20positron%20emission%20tomography" title=" amino acid positron emission tomography"> amino acid positron emission tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=magnetic%20resonance%20imaging" title=" magnetic resonance imaging"> magnetic resonance imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20and%20high%20grade%20glioma" title=" low and high grade glioma"> low and high grade glioma</a> </p> <a href="https://publications.waset.org/abstracts/127798/o-2-18f-fluoroethyl-l-tyrosine-positron-emission-tomographycomputed-tomography-in-patients-with-suspicious-recurrent-low-and-high-grade-glioma" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127798.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">177</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2745</span> Heat-Induced Uncertainty of Industrial Computed Tomography Measuring a Stainless Steel Cylinder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Verena%20M.%20Moock">Verena M. Moock</a>, <a href="https://publications.waset.org/abstracts/search?q=Darien%20E.%20Arce%20Ch%C3%A1vez"> Darien E. Arce Chávez</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariana%20M.%20Espejel%20Gonz%C3%A1lez"> Mariana M. Espejel González</a>, <a href="https://publications.waset.org/abstracts/search?q=Leopoldo%20Ru%C3%ADz-Huerta"> Leopoldo Ruíz-Huerta</a>, <a href="https://publications.waset.org/abstracts/search?q=Crescencio%20Garc%C3%ADa-Segundo"> Crescencio García-Segundo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Uncertainty analysis in industrial computed tomography is commonly related to metrological trace tools, which offer precision measurements of external part features. Unfortunately, there is no such reference tool for internal measurements to profit from the unique imaging potential of X-rays. Uncertainty approximations for computed tomography are still based on general aspects of the industrial machine and do not adapt to acquisition parameters or part characteristics. The present study investigates the impact of the acquisition time on the dimensional uncertainty measuring a stainless steel cylinder with a circular tomography scan. The authors develop the figure difference method for X-ray radiography to evaluate the volumetric differences introduced within the projected absorption maps of the metal workpiece. The dimensional uncertainty is dominantly influenced by photon energy dissipated as heat causing the thermal expansion of the metal, as monitored by an infrared camera within the industrial tomograph. With the proposed methodology, we are able to show evolving temperature differences throughout the tomography acquisition. This is an early study showing that the number of projections in computer tomography induces dimensional error due to energy absorption. The error magnitude would depend on the thermal properties of the sample and the acquisition parameters by placing apparent non-uniform unwanted volumetric expansion. We introduce infrared imaging for the experimental display of metrological uncertainty in a particular metal part of symmetric geometry. We assess that the current results are of fundamental value to reach the balance between the number of projections and uncertainty tolerance when performing analysis with X-ray dimensional exploration in precision measurements with industrial tomography. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20metrology" title=" digital metrology"> digital metrology</a>, <a href="https://publications.waset.org/abstracts/search?q=infrared%20imaging" title=" infrared imaging"> infrared imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20expansion" title=" thermal expansion"> thermal expansion</a> </p> <a href="https://publications.waset.org/abstracts/157387/heat-induced-uncertainty-of-industrial-computed-tomography-measuring-a-stainless-steel-cylinder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157387.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2744</span> Comparison of Computed Tomography Dose Index, Dose Length Product and Effective Dose Among Male and Female Patients From Contrast Enhanced Computed Tomography Pancreatitis Protocol</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Babina%20Aryal">Babina Aryal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The diagnosis of pancreatitis is generally based on clinical and laboratory findings; however, Computed Tomography (CT) is an imaging technique of choice specially Contrast Enhanced Computed Tomography (CECT) shows morphological characteristic findings that allow for establishing the diagnosis of pancreatitis and determining the extent of disease severity which is done along with the administration of appropriate contrast medium. The purpose of this study was to compare Computed Tomography Dose Index (CTDI), Dose Length Product (DLP) and Effective Dose (ED) among male and female patients from Contrast Enhanced Computed Tomography (CECT) Pancreatitis Protocol. Methods: This retrospective study involved data collection based on clinical/laboratory/ultrasonography diagnosis of Pancreatitis and has undergone CECT Abdomen pancreatitis protocol. data collection involved detailed information about a patient's Age and Gender, Clinical history, Individual Computed Tomography Dose Index and Dose Length Product and effective dose. Results: We have retrospectively collected dose data from 150 among which 127 were males and 23 were females. The values obtained from the display of the CT screen were measured, calculated and compared to determine whether the CTDI, DLP and ED values were similar or not. CTDI for females was more as compared to males. The differences in CTDI values for females and males were 32.2087 and 37.1609 respectively. DLP values and Effective dose for both the genders did not show significant differences. Conclusion: This study concluded that there were no more significant changes in the DLP and ED values among both the genders however we noticed that female patients had more CTDI than males. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=contrast%20enhanced%20computed%20tomography" title=" contrast enhanced computed tomography"> contrast enhanced computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography%20dose%20index" title=" computed tomography dose index"> computed tomography dose index</a>, <a href="https://publications.waset.org/abstracts/search?q=dose%20length%20product" title=" dose length product"> dose length product</a>, <a href="https://publications.waset.org/abstracts/search?q=effective%20dose" title=" effective dose"> effective dose</a> </p> <a href="https://publications.waset.org/abstracts/175402/comparison-of-computed-tomography-dose-index-dose-length-product-and-effective-dose-among-male-and-female-patients-from-contrast-enhanced-computed-tomography-pancreatitis-protocol" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175402.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2743</span> Geometric Calibration of Computed Tomography Equipment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chia-Hung%20Liao">Chia-Hung Liao</a>, <a href="https://publications.waset.org/abstracts/search?q=Shih-Chieh%20Lin"> Shih-Chieh Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> X-ray computed tomography (CT) technology has been used in the electronics industry as one of the non-destructive inspection tools for years. The key advantage of X-ray computed tomography technology superior to traditional optical inspection is the penetrating characteristics of X-rays can be used to detect defects in the interior of objects. The objective of this study is to find a way to estimate the system geometric deviation of X-ray CT equipment. Projection trajectories of the characteristic points of standard parts were tracked, and ways to calculate the deviation of various geometric parameters of the system will be proposed and evaluated. A simulation study will be conducted to first find out the effects of system geometric deviation on projected trajectories. Then ways to estimate geometric deviation with collected trajectories will be proposed and tested through simulations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geometric%20calibration" title="geometric calibration">geometric calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=X-ray%20computed%20tomography" title=" X-ray computed tomography"> X-ray computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20tracing" title=" trajectory tracing"> trajectory tracing</a>, <a href="https://publications.waset.org/abstracts/search?q=reconstruction%20optimization" title=" reconstruction optimization"> reconstruction optimization</a> </p> <a href="https://publications.waset.org/abstracts/163099/geometric-calibration-of-computed-tomography-equipment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163099.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">109</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2742</span> Establishment of Diagnostic Reference Levels for Computed Tomography Examination at the University of Ghana Medical Centre</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shirazu%20Issahaku">Shirazu Issahaku</a>, <a href="https://publications.waset.org/abstracts/search?q=Isaac%20Kwesi%20Acquah"> Isaac Kwesi Acquah</a>, <a href="https://publications.waset.org/abstracts/search?q=Simon%20Mensah%20Amoh"> Simon Mensah Amoh</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Nunoo"> George Nunoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Diagnostic Reference Levels are important indicators for monitoring and optimizing protocol and procedure in medical imaging between facilities and equipment. This helps to evaluate whether, in routine clinical conditions, the median value obtained for a representative group of patients within an agreed range from a specified procedure is unusually high or low for that procedure. This study aimed to propose Diagnostic Reference Levels for Computed Tomography examination of the most common routine examination of the head, chest and abdominal pelvis regions at the University of Ghana Medical Centre. Methods: The Diagnostic Reference Levels were determined based on the investigation of the most common routine examinations, including head Computed Tomography examination with and without contrast, abdominopelvic Computed Tomography examination with and without contrast, and chest Computed Tomography examination without contrast. The study was based on two dose indicators: the volumetric Computed Tomography Dose Index and Dose-Length Product. Results: The estimated median distribution for head Computed Tomography with contrast for volumetric-Computed Tomography dose index and Dose-Length Product were 38.33 mGy and 829.35 mGy.cm, while without contrast, were 38.90 mGy and 860.90 mGy.cm respectively. For an abdominopelvic Computed Tomography examination with contrast, the estimated volumetric-Computed Tomography dose index and Dose-Length Product values were 40.19 mGy and 2096.60 mGy.cm. In the absence of contrast, the calculated values were 14.65 mGy and 800.40 mGy.cm, respectively. Additionally, for chest Computed Tomography examination, the estimated values were 12.75 mGy and 423.95 mGy.cm for volumetric-Computed Tomography dose index and Dose-Length Product, respectively. These median values represent the proposed diagnostic reference values of the head, chest, and abdominal pelvis regions. Conclusions: The proposed Diagnostic Reference Level is comparable to the recommended International Atomic Energy Agency and International Commission Radiation Protection Publication 135 and other regional published data by the European Commission and Regional National Diagnostic Reference Level in Africa. These reference levels will serve as benchmarks to guide clinicians in optimizing radiation dose levels while ensuring accurate diagnostic image quality at the facility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20reference%20levels" title="diagnostic reference levels">diagnostic reference levels</a>, <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography%20dose%20index" title=" computed tomography dose index"> computed tomography dose index</a>, <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title=" computed tomography"> computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=radiation%20exposure" title=" radiation exposure"> radiation exposure</a>, <a href="https://publications.waset.org/abstracts/search?q=dose-length%20product" title=" dose-length product"> dose-length product</a>, <a href="https://publications.waset.org/abstracts/search?q=radiation%20protection" title=" radiation protection"> radiation protection</a> </p> <a href="https://publications.waset.org/abstracts/188321/establishment-of-diagnostic-reference-levels-for-computed-tomography-examination-at-the-university-of-ghana-medical-centre" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188321.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">56</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2741</span> Resistivity Tomography Optimization Based on Parallel Electrode Linear Back Projection Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yiwei%20Huang">Yiwei Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chunyu%20Zhao"> Chunyu Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingjing%20Ding"> Jingjing Ding</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electrical Resistivity Tomography has been widely used in the medicine and the geology, such as the imaging of the lung impedance and the analysis of the soil impedance, etc. Linear Back Projection is the core algorithm of Electrical Resistivity Tomography, but the traditional Linear Back Projection can not make full use of the information of the electric field. In this paper, an imaging method of Parallel Electrode Linear Back Projection for Electrical Resistivity Tomography is proposed, which generates the electric field distribution that is not linearly related to the traditional Linear Back Projection, captures the new information and improves the imaging accuracy without increasing the number of electrodes by changing the connection mode of the electrodes. The simulation results show that the accuracy of the image obtained by the inverse operation obtained by the Parallel Electrode Linear Back Projection can be improved by about 20%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrical%20resistivity%20tomography" title="electrical resistivity tomography">electrical resistivity tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20simulation" title=" finite element simulation"> finite element simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20optimization" title=" image optimization"> image optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20electrode%20linear%20back%20projection" title=" parallel electrode linear back projection"> parallel electrode linear back projection</a> </p> <a href="https://publications.waset.org/abstracts/112189/resistivity-tomography-optimization-based-on-parallel-electrode-linear-back-projection-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112189.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2740</span> Non-Destructive Testing of Metal Pipes with Ultrasonic Sensors Based on Determination of Maximum Ultrasonic Frequency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Herlina%20Abdul%20Rahim">Herlina Abdul Rahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Javad%20Abbaszadeh"> Javad Abbaszadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruzairi%20Abdul%20Rahim"> Ruzairi Abdul Rahim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research, the non-invasive ultrasonic transmission tomography is investigated. In order to model the ultrasonic wave scattering for different thickness of metal pipes, two-dimensional (2D) finite element modeling (FEM) has been utilized. The wall thickness variation of the metal pipe and its influence on propagation of the ultrasonic pressure wave are explored in this paper, includes frequency analysing in order to find the maximum applicable frequency. The simulation results have been compared to experimental data and are shown to provide key insight for this well-defined experimental case by explaining the achieved reconstructed images from experimental setup. Finally, the experimental results which are useful for further investigation for the application of ultrasonic transmission tomography in industry are illustrated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20transmission%20tomography" title="ultrasonic transmission tomography">ultrasonic transmission tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20sensors" title=" ultrasonic sensors"> ultrasonic sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20wave" title=" ultrasonic wave"> ultrasonic wave</a>, <a href="https://publications.waset.org/abstracts/search?q=non-invasive%20tomography" title=" non-invasive tomography"> non-invasive tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=metal%20pipe" title=" metal pipe"> metal pipe</a> </p> <a href="https://publications.waset.org/abstracts/50272/non-destructive-testing-of-metal-pipes-with-ultrasonic-sensors-based-on-determination-of-maximum-ultrasonic-frequency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50272.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">359</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2739</span> Comparing ITV Definitions From 4D CT-PET and Breath-Hold Technique with Abdominal Compression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20D.%20Esposito">R. D. Esposito</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Dorado%20Rodriguez"> P. Dorado Rodriguez</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Planes%20Meseguer"> D. Planes Meseguer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we compare the contour of Internal Target Volume (ITV), for Stereotactic Body Radiation Therapy (SBRT) of a patient affected by a single liver metastasis, obtained from two different patient data acquisition techniques. The first technique consists in a free breathing Computer Tomography (CT) scan acquisition, followed by exhalation breath-hold and inhalation breath-hold CT scans, all of them applying abdominal compression while the second technique consists in a free breathing 4D CT-PET (Positron Emission Tomography) scan. Results obtained with these two methods are consistent, which demonstrate that at least for this specific case, both techniques are adequate for ITV contouring in SBRT treatments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=4D%20CT-PET" title="4D CT-PET">4D CT-PET</a>, <a href="https://publications.waset.org/abstracts/search?q=abdominal%20compression" title=" abdominal compression"> abdominal compression</a>, <a href="https://publications.waset.org/abstracts/search?q=ITV" title=" ITV"> ITV</a>, <a href="https://publications.waset.org/abstracts/search?q=SBRT" title=" SBRT"> SBRT</a> </p> <a href="https://publications.waset.org/abstracts/29648/comparing-itv-definitions-from-4d-ct-pet-and-breath-hold-technique-with-abdominal-compression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29648.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">443</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2738</span> Assessment of the Response of Seismic Refraction Tomography and Resistivity Imaging to the Same Geologic Environment: A Case Study of Zaria Basement Complex in North Central Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Collins%20C.%20Chiemeke">Collins C. Chiemeke</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20B.%20Osazuwa"> I. B. Osazuwa</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20O.%20Ibe"> S. O. Ibe</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20N.%20Egwuonwu"> G. N. Egwuonwu</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20D.%20Ani"> C. D. Ani</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20C.%20Chii"> E. C. Chii</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study area is Zaria, located in the basement complex of northern Nigeria. The rock type forming the major part of the Zaria batholith is granite. This research work was carried out to compare the responses of seismic refraction tomography and resistivity tomography in the same geologic environment and under the same conditions. Hence, the choice of the site that has a visible granitic outcrop that extends across a narrow stream channel and is flanked by unconsolidated overburden, a neutral profile that was covered by plain overburden and a site with thick lateritic cover became necessary. The results of the seismic and resistivity tomography models reveals that seismic velocity and resistivity does not always simultaneously increase with depth, but their responses in any geologic environment are determined by changes in the mechanical and chemical content of the rock types rather than depth. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environment" title="environment">environment</a>, <a href="https://publications.waset.org/abstracts/search?q=resistivity" title=" resistivity"> resistivity</a>, <a href="https://publications.waset.org/abstracts/search?q=response" title=" response"> response</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic" title=" seismic"> seismic</a>, <a href="https://publications.waset.org/abstracts/search?q=velocity" title=" velocity"> velocity</a> </p> <a href="https://publications.waset.org/abstracts/5725/assessment-of-the-response-of-seismic-refraction-tomography-and-resistivity-imaging-to-the-same-geologic-environment-a-case-study-of-zaria-basement-complex-in-north-central-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5725.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2737</span> Measuring of the Volume Ratio of Two Immiscible Liquids Using Electrical Impedance Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiri%20Primas">Jiri Primas</a>, <a href="https://publications.waset.org/abstracts/search?q=Michal%20Malik"> Michal Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Darina%20Jasikova"> Darina Jasikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Michal%20Kotek"> Michal Kotek</a>, <a href="https://publications.waset.org/abstracts/search?q=Vaclav%20Kopecky"> Vaclav Kopecky</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Authors of this paper discuss the measuring of volume ratio of two immiscible liquids in the homogenous mixture using the industrial Electrical Impedance Tomography (EIT) system ITS p2+. In the first part of the paper, the principle of EIT and the basic theory of conductivity of mixture of two components are stated. In the next part, the experiment with water and olive oil mixed with Rushton turbine is described, and the measured results are used to verify the theory. In the conclusion, the results are discussed in detail, and the accuracy of the measuring method and its advantages are also mentioned. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conductivity" title="conductivity">conductivity</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20impedance%20tomography" title=" electrical impedance tomography"> electrical impedance tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=homogenous%20mixture" title=" homogenous mixture"> homogenous mixture</a>, <a href="https://publications.waset.org/abstracts/search?q=mixing%20process" title=" mixing process"> mixing process</a> </p> <a href="https://publications.waset.org/abstracts/84692/measuring-of-the-volume-ratio-of-two-immiscible-liquids-using-electrical-impedance-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84692.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">403</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2736</span> Image Enhancement Algorithm of Photoacoustic Tomography Using Active Contour Filtering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prasannakumar%20Palaniappan">Prasannakumar Palaniappan</a>, <a href="https://publications.waset.org/abstracts/search?q=Dong%20Ho%20Shin"> Dong Ho Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Chul%20Gyu%20Song"> Chul Gyu Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The photoacoustic images are obtained from a custom developed linear array photoacoustic tomography system. The biological specimens are imitated by conducting phantom tests in order to retrieve a fully functional photoacoustic image. The acquired image undergoes the active region based contour filtering to remove the noise and accurately segment the object area for further processing. The universal back projection method is used as the image reconstruction algorithm. The active contour filtering is analyzed by evaluating the signal to noise ratio and comparing it with the other filtering methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contour%20filtering" title="contour filtering">contour filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20array" title=" linear array"> linear array</a>, <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20tomography" title=" photoacoustic tomography"> photoacoustic tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=universal%20back%20projection" title=" universal back projection"> universal back projection</a> </p> <a href="https://publications.waset.org/abstracts/40626/image-enhancement-algorithm-of-photoacoustic-tomography-using-active-contour-filtering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40626.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2735</span> Detecting Rat’s Kidney Inflammation Using Real Time Photoacoustic Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Y.%20Lee">M. Y. Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20H.%20Shin"> D. H. Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20H.%20Park"> S. H. Park</a>, <a href="https://publications.waset.org/abstracts/search?q=W.C.%20Ham"> W.C. Ham</a>, <a href="https://publications.waset.org/abstracts/search?q=S.K.%20Ko"> S.K. Ko</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20G.%20Song"> C. G. Song </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Photoacoustic Tomography (PAT) is a promising medical imaging modality that combines optical imaging contrast with the spatial resolution of ultrasound imaging. It can also distinguish the changes in biological features. But, real-time PAT system should be confirmed due to photoacoustic effect for tissue. Thus, we have developed a real-time PAT system using a custom-developed data acquisition board and ultrasound linear probe. To evaluate performance of our system, phantom test was performed. As a result of those experiments, the system showed satisfactory performance and its usefulness has been confirmed. We monitored the degradation of inflammation which induced on the rat’s kidney using real-time PAT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20tomography" title="photoacoustic tomography">photoacoustic tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=inflammation%20detection" title=" inflammation detection"> inflammation detection</a>, <a href="https://publications.waset.org/abstracts/search?q=rat" title=" rat"> rat</a>, <a href="https://publications.waset.org/abstracts/search?q=kidney" title=" kidney"> kidney</a>, <a href="https://publications.waset.org/abstracts/search?q=contrast%20agent" title=" contrast agent"> contrast agent</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasound" title=" ultrasound"> ultrasound</a> </p> <a href="https://publications.waset.org/abstracts/71172/detecting-rats-kidney-inflammation-using-real-time-photoacoustic-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71172.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">458</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2734</span> Entropy Analysis in a Bubble Column Based on Ultrafast X-Ray Tomography Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stoyan%20Nedeltchev">Stoyan Nedeltchev</a>, <a href="https://publications.waset.org/abstracts/search?q=Markus%20Schubert"> Markus Schubert</a> </p> <p class="card-text"><strong>Abstract:</strong></p> By means of the ultrafast X-ray tomography facility, data were obtained at different superficial gas velocities <em>U</em><sub>G</sub> in a bubble column (0.1 m in ID) operated with an air-deionized water system at ambient conditions. Raw reconstructed images were treated by both the information entropy (IE) and the reconstruction entropy (RE) algorithms in order to identify the main transition velocities in a bubble column. The IE values exhibited two well-pronounced minima at <em>U</em><sub>G</sub>=0.025 m/s and <em>U</em><sub>G</sub>=0.085 m/s identifying the boundaries of the homogeneous, transition and heterogeneous regimes. The RE extracted from the central region of the column’s cross-section exhibited only one characteristic peak at <em>U</em><sub>G</sub>=0.03 m/s, which was attributed to the transition from the homogeneous to the heterogeneous flow regime. This result implies that the transition regime is non-existent in the core of the column. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bubble%20column" title="bubble column">bubble column</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrafast%20X-ray%20tomography" title=" ultrafast X-ray tomography"> ultrafast X-ray tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20entropy" title=" information entropy"> information entropy</a>, <a href="https://publications.waset.org/abstracts/search?q=reconstruction%20entropy" title=" reconstruction entropy"> reconstruction entropy</a> </p> <a href="https://publications.waset.org/abstracts/43128/entropy-analysis-in-a-bubble-column-based-on-ultrafast-x-ray-tomography-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43128.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">392</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2733</span> Comparison of Back-Projection with Non-Uniform Fast Fourier Transform for Real-Time Photoacoustic Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Moung%20Young%20Lee">Moung Young Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Chul%20Gyu%20Song"> Chul Gyu Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Photoacoustic imaging is the imaging technology that combines the optical imaging and ultrasound. This provides the high contrast and resolution due to optical imaging and ultrasound imaging, respectively. We developed the real-time photoacoustic tomography (PAT) system using linear-ultrasound transducer and digital acquisition (DAQ) board. There are two types of algorithm for reconstructing the photoacoustic signal. One is back-projection algorithm, the other is FFT algorithm. Especially, we used the non-uniform FFT algorithm. To evaluate the performance of our system and algorithms, we monitored two wires that stands at interval of 2.89 mm and 0.87 mm. Then, we compared the images reconstructed by algorithms. Finally, we monitored the two hairs crossed and compared between these algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=back-projection" title="back-projection">back-projection</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20comparison" title=" image comparison"> image comparison</a>, <a href="https://publications.waset.org/abstracts/search?q=non-uniform%20FFT" title=" non-uniform FFT"> non-uniform FFT</a>, <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20tomography" title=" photoacoustic tomography"> photoacoustic tomography</a> </p> <a href="https://publications.waset.org/abstracts/40584/comparison-of-back-projection-with-non-uniform-fast-fourier-transform-for-real-time-photoacoustic-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40584.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">434</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2732</span> Non-Invasive Imaging of Tissue Using Near Infrared Radiations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ashwani%20Kumar%20Aggarwal">Ashwani Kumar Aggarwal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> NIR Light is non-ionizing and can pass easily through living tissues such as breast without any harmful effects. Therefore, use of NIR light for imaging the biological tissue and to quantify its optical properties is a good choice over other invasive methods. Optical tomography involves two steps. One is the forward problem and the other is the reconstruction problem. The forward problem consists of finding the measurements of transmitted light through the tissue from source to detector, given the spatial distribution of absorption and scattering properties. The second step is the reconstruction problem. In X-ray tomography, there is standard method for reconstruction called filtered back projection method or the algebraic reconstruction methods. But this method cannot be applied as such, in optical tomography due to highly scattering nature of biological tissue. A hybrid algorithm for reconstruction has been implemented in this work which takes into account the highly scattered path taken by photons while back projecting the forward data obtained during Monte Carlo simulation. The reconstructed image suffers from blurring due to point spread function. This blurred reconstructed image has been enhanced using a digital filter which is optimal in mean square sense. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=least-squares%20optimization" title="least-squares optimization">least-squares optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=filtering" title=" filtering"> filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=tomography" title=" tomography"> tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=laser%20interaction" title=" laser interaction"> laser interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=light%20scattering" title=" light scattering"> light scattering</a> </p> <a href="https://publications.waset.org/abstracts/33280/non-invasive-imaging-of-tissue-using-near-infrared-radiations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33280.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2731</span> Detecting the Blood of Femoral and Carotid Artery of Swine Using Photoacoustic Tomography in-vivo</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Y.%20Lee">M. Y. Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20H.%20Park"> S. H. Park</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20M.%20Yu"> S. M. Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Jo"> H. S. Jo</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20G.%20Song"> C. G. Song</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Photoacoustic imaging is the imaging technology that combines the optical imaging with ultrasound. It also provides the high contrast and resolution due to optical and ultrasound imaging, respectively. For these reasons, many studies take experiment in order to apply this method for many diagnoses. We developed the real-time photoacoustic tomography (PAT) system using linear-ultrasound transducer. In this study, we conduct the experiment using swine and detect the blood of carotid artery and femoral artery. We measured the blood of femoral and carotid artery of swine and reconstructed the image using 950nm due to the HbO₂ absorption coefficient. The photoacoustic image is overlaid with ultrasound image in order to match the position. In blood of artery, major composition of blood is HbO₂. In this result, we can measure the blood of artery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photoacoustic%20tomography" title="photoacoustic tomography">photoacoustic tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=swine%20artery" title=" swine artery"> swine artery</a>, <a href="https://publications.waset.org/abstracts/search?q=carotid%20artery" title=" carotid artery"> carotid artery</a>, <a href="https://publications.waset.org/abstracts/search?q=femoral%20artery" title=" femoral artery"> femoral artery</a> </p> <a href="https://publications.waset.org/abstracts/92983/detecting-the-blood-of-femoral-and-carotid-artery-of-swine-using-photoacoustic-tomography-in-vivo" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92983.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">252</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2730</span> Recent Advances of Photo-Detectors in Single Photon Emission Computed Tomography Imaging System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qasem%20A.%20Alyazji">Qasem A. Alyazji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the main techniques for Positron emission tomography (PET), Single photon emission computed tomography (SPECT) is the development of radiation detectors. The NaI(Tl) scintillator crystal coupled to an array of photomultiplier tubes known as the Anger camera, is the most dominant detectors system in PET and SPECT devices. Technological advances in many materials, in addition to the emerging importance of specialized applications such as preclinical imaging and cardiac imaging, have encouraged innovation so that alternatives to the anger camera are now part in alternative imaging systems. In this paper we will discuss the main performance characteristics of detectors devices and scanning developments in both scintillation detectors, semiconductor (solid state) detectors, and Photon Transducers such as photomultiplier tubes (PMTs), position sensitive photomultiplier tubes (PSPMTs), Avalanche photodiodes (APDs) and Silicon photomultiplier (SiPMT). This paper discussed the detectors that showed promising results. This study is a review of recent developments in the detectors used in single photon emission computed tomography (SPECT) imaging system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SPECT" title="SPECT">SPECT</a>, <a href="https://publications.waset.org/abstracts/search?q=scintillation" title=" scintillation"> scintillation</a>, <a href="https://publications.waset.org/abstracts/search?q=PMTs" title=" PMTs"> PMTs</a>, <a href="https://publications.waset.org/abstracts/search?q=SiPMT" title=" SiPMT"> SiPMT</a>, <a href="https://publications.waset.org/abstracts/search?q=PSPMTs" title=" PSPMTs"> PSPMTs</a>, <a href="https://publications.waset.org/abstracts/search?q=APDs" title=" APDs"> APDs</a>, <a href="https://publications.waset.org/abstracts/search?q=semiconductor%20%28solid%20state%29" title=" semiconductor (solid state)"> semiconductor (solid state)</a> </p> <a href="https://publications.waset.org/abstracts/157985/recent-advances-of-photo-detectors-in-single-photon-emission-computed-tomography-imaging-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157985.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">168</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2729</span> The Potential for Cyclotron and Generator-produced Positron Emission Tomography Radiopharmaceuticals: An Overview</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ng%20Yen">Ng Yen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shafii%20Khamis"> Shafii Khamis</a>, <a href="https://publications.waset.org/abstracts/search?q=Rehir%20Bin%20Dahalan"> Rehir Bin Dahalan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cyclotrons in the energy range 10-30 MeV are widely used for the production of clincally relevant radiosiotopes used in positron emission tomography (PET) nuclear imaging. Positron emmision tomography is a powerful nuclear imaging tool that produces high quality 3-dimentional images of functional processes of body. The advantage of PET among all other imaging devices is that it allows the study of an impressive array of discrete biochemical and physiologic processes, within a single imaging session. The number of PET scanner increases every year globally due to high clinical demand. However, not all PET centers can afford a cyclotron, due to the expense associated with operation of an in-house cyclotron. Therefore, current research has also focused on the development of parent/daughter generators that can reliably provide PET nuclides. These generators (68Ge/68Ga generator, 62Zn/62Cu, 82Sr/82Rb, etc) can provide even short-lived radionuclides at any time on demand, without the need of an ‘in-house cyclotron’. The parent isotope is produced at a cyclotron/reactor facility, and can be shipped to remote clinical sites (regionally/overseas), where the daughter isotope is eluted, a model similar to the 99Mo/99mTc generator system. The specific aim for this presentation is to talk about the potential for both of the cyclotron and generator-produced PET radiopharmaceuticals used in clinical imaging. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=positron%20emission%20tomography" title="positron emission tomography">positron emission tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=radiopharmaceutical" title=" radiopharmaceutical"> radiopharmaceutical</a>, <a href="https://publications.waset.org/abstracts/search?q=cyclotron" title=" cyclotron"> cyclotron</a>, <a href="https://publications.waset.org/abstracts/search?q=generator" title=" generator"> generator</a> </p> <a href="https://publications.waset.org/abstracts/18366/the-potential-for-cyclotron-and-generator-produced-positron-emission-tomography-radiopharmaceuticals-an-overview" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18366.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">482</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2728</span> Active Surface Tracking Algorithm for All-Fiber Common-Path Fourier-Domain Optical Coherence Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bang%20Young%20Kim">Bang Young Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang%20Hoon%20Park"> Sang Hoon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Chul%20Gyu%20Song"> Chul Gyu Song </a> </p> <p class="card-text"><strong>Abstract:</strong></p> A conventional optical coherence tomography (OCT) system has limited imaging depth, which is 1-2 mm, and suffers unwanted noise such as speckle noise. The motorized-stage-based OCT system, using a common-path Fourier-domain optical coherence tomography (CP-FD-OCT) configuration, provides enhanced imaging depth and less noise so that we can overcome these limitations. Using this OCT systems, OCT images were obtained from an onion, and their subsurface structure was observed. As a result, the images obtained using the developed motorized-stage-based system showed enhanced imaging depth than the conventional system, since it is real-time accurate depth tracking. Consequently, the developed CP-FD-OCT systems and algorithms have good potential for the further development of endoscopic OCT for microsurgery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=common-path%20OCT" title="common-path OCT">common-path OCT</a>, <a href="https://publications.waset.org/abstracts/search?q=FD-OCT" title=" FD-OCT"> FD-OCT</a>, <a href="https://publications.waset.org/abstracts/search?q=OCT" title=" OCT"> OCT</a>, <a href="https://publications.waset.org/abstracts/search?q=tracking%20algorithm" title=" tracking algorithm"> tracking algorithm</a> </p> <a href="https://publications.waset.org/abstracts/40583/active-surface-tracking-algorithm-for-all-fiber-common-path-fourier-domain-optical-coherence-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40583.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2727</span> Application of the Electrical Resistivity Tomography and Tunnel Seismic Prediction 303 Methods for Detection Fracture Zones Ahead of Tunnel: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nima%20Dastanboo">Nima Dastanboo</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiao-Qing%20Li"> Xiao-Qing Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Gharibdoost"> Hamed Gharibdoost</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to investigate about the geological properties ahead of a tunnel face with using Electrical Resistivity Tomography ERT and Tunnel Seismic Prediction TSP303 methods. In deep tunnels with hydro-geological conditions, it is important to study the geological structures of the region before excavating tunnels. Otherwise, it would lead to unexpected accidents that impose serious damage to the project. For constructing Nosoud tunnel in west of Iran, the ERT and TSP303 methods are employed to predict the geological conditions dynamically during the excavation. In this paper, based on the engineering background of Nosoud tunnel, the important results of applying these methods are discussed. This work demonstrates seismic method and electrical tomography as two geophysical techniques that are able to detect a tunnel. The results of these two methods were being in agreement with each other but the results of TSP303 are more accurate and quality. In this case, the TSP 303 method was a useful tool for predicting unstable geological structures ahead of the tunnel face during excavation. Thus, using another geophysical method together with TSP303 could be helpful as a decision support in excavating, especially in complicated geological conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tunnel%20seismic%20prediction%20%28TSP303%29" title="tunnel seismic prediction (TSP303)">tunnel seismic prediction (TSP303)</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20resistivity%20tomography%20%28ERT%29" title=" electrical resistivity tomography (ERT)"> electrical resistivity tomography (ERT)</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20wave" title=" seismic wave"> seismic wave</a>, <a href="https://publications.waset.org/abstracts/search?q=velocity%20analysis" title=" velocity analysis"> velocity analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=low-velocity%20zones" title=" low-velocity zones"> low-velocity zones</a> </p> <a href="https://publications.waset.org/abstracts/106568/application-of-the-electrical-resistivity-tomography-and-tunnel-seismic-prediction-303-methods-for-detection-fracture-zones-ahead-of-tunnel-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106568.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2726</span> Non-Invasive Imaging of Human Tissue Using NIR Light</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ashwani%20Kumar">Ashwani Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Use of NIR light for imaging the biological tissue and to quantify its optical properties is a good choice over other invasive methods. Optical tomography involves two steps. One is the forward problem and the other is the reconstruction problem. The forward problem consists of finding the measurements of transmitted light through the tissue from source to detector, given the spatial distribution of absorption and scattering properties. The second step is the reconstruction problem. In X-ray tomography, there is standard method for reconstruction called filtered back projection method or the algebraic reconstruction methods. But this method cannot be applied as such, in optical tomography due to highly scattering nature of biological tissue. A hybrid algorithm for reconstruction has been implemented in this work which takes into account the highly scattered path taken by photons while back projecting the forward data obtained during Monte Carlo simulation. The reconstructed image suffers from blurring due to point spread function. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NIR%20light" title="NIR light">NIR light</a>, <a href="https://publications.waset.org/abstracts/search?q=tissue" title=" tissue"> tissue</a>, <a href="https://publications.waset.org/abstracts/search?q=blurring" title=" blurring"> blurring</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo%20simulation" title=" Monte Carlo simulation"> Monte Carlo simulation</a> </p> <a href="https://publications.waset.org/abstracts/33453/non-invasive-imaging-of-human-tissue-using-nir-light" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33453.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">495</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2725</span> Computed Tomography Brain and Inpatient Falls: An Audit Evaluating the Indications and Outcomes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zain%20Khan">Zain Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Steve%20Ahn"> Steve Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Kathy%20Monypenny"> Kathy Monypenny</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Fink"> James Fink</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Australian public hospitals, there were approximately 34,000 reported inpatient falls between 2015 to 2016. The gold standard for diagnosing intracranial injury is non-contrast enhanced brain computed tomography (CTB). Over a three-month timeframe, a total of one hundred and eighty (180) falls were documented between the hours of 4pm and 8am at a large metro hospital. Only three (3) of these scans demonstrated a positive intra-cranial finding. The rationale for scanning varied. The common indications included a fall with head strike, the presence of blood thinning medication, loss of consciousness, reduced Glasgow Coma Scale (GCS), vomiting and new neurological findings. There are several validated tools to aid in decision-making around ordering CTB scans in the acute setting, but no such accepted tool exists for the inpatient space. With further data collection, spanning a greater length of time and through involving multiple centres, work can be done towards generating such a tool that can be utilized for inpatient falls. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=falls" title=" falls"> falls</a>, <a href="https://publications.waset.org/abstracts/search?q=inpatient" title=" inpatient"> inpatient</a>, <a href="https://publications.waset.org/abstracts/search?q=intracranial%20hemorrhage" title=" intracranial hemorrhage"> intracranial hemorrhage</a> </p> <a href="https://publications.waset.org/abstracts/178242/computed-tomography-brain-and-inpatient-falls-an-audit-evaluating-the-indications-and-outcomes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178242.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">175</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2724</span> 'Low Electronic Noise' Detector Technology in Computed Tomography</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Ikhlef">A. Ikhlef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Image noise in computed tomography, is mainly caused by the statistical noise, system noise reconstruction algorithm filters. Since last few years, low dose x-ray imaging became more and more desired and looked as a technical differentiating technology among CT manufacturers. In order to achieve this goal, several technologies and techniques are being investigated, including both hardware (integrated electronics and photon counting) and software (artificial intelligence and machine learning) based solutions. From a hardware point of view, electronic noise could indeed be a potential driver for low and ultra-low dose imaging. We demonstrated that the reduction or elimination of this term could lead to a reduction of dose without affecting image quality. Also, in this study, we will show that we can achieve this goal using conventional electronics (low cost and affordable technology), designed carefully and optimized for maximum detective quantum efficiency. We have conducted the tests using large imaging objects such as 30 cm water and 43 cm polyethylene phantoms. We compared the image quality with conventional imaging protocols with radiation as low as 10 mAs (<< 1 mGy). Clinical validation of such results has been performed as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20noise" title=" electronic noise"> electronic noise</a>, <a href="https://publications.waset.org/abstracts/search?q=scintillation%20detector" title=" scintillation detector"> scintillation detector</a>, <a href="https://publications.waset.org/abstracts/search?q=x-ray%20detector" title=" x-ray detector"> x-ray detector</a> </p> <a href="https://publications.waset.org/abstracts/105183/low-electronic-noise-detector-technology-in-computed-tomography" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">127</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2723</span> Comparative Study of Different Enhancement Techniques for Computed Tomography Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20G.%20Jinimole">C. G. Jinimole</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Harsha"> A. Harsha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the key problems facing in the analysis of Computed Tomography (CT) images is the poor contrast of the images. Image enhancement can be used to improve the visual clarity and quality of the images or to provide a better transformation representation for further processing. Contrast enhancement of images is one of the acceptable methods used for image enhancement in various applications in the medical field. This will be helpful to visualize and extract details of brain infarctions, tumors, and cancers from the CT image. This paper presents a comparison study of five contrast enhancement techniques suitable for the contrast enhancement of CT images. The types of techniques include Power Law Transformation, Logarithmic Transformation, Histogram Equalization, Contrast Stretching, and Laplacian Transformation. All these techniques are compared with each other to find out which enhancement provides better contrast of CT image. For the comparison of the techniques, the parameters Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are used. Logarithmic Transformation provided the clearer and best quality image compared to all other techniques studied and has got the highest value of PSNR. Comparison concludes with better approach for its future research especially for mapping abnormalities from CT images resulting from Brain Injuries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computed%20tomography" title="computed tomography">computed tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=enhancement%20techniques" title=" enhancement techniques"> enhancement techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=increasing%20contrast" title=" increasing contrast"> increasing contrast</a>, <a href="https://publications.waset.org/abstracts/search?q=PSNR%20and%20MSE" title=" PSNR and MSE"> PSNR and MSE</a> </p> <a href="https://publications.waset.org/abstracts/69868/comparative-study-of-different-enhancement-techniques-for-computed-tomography-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69868.pdf" target="_blank" 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