<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/313" mdate="2012-05-24 00:00:00"> <author>H. 脰zkan</author> <title>Segmentation of Ascending and Descending Aorta in CTA Images</title> <pages>141 - 143</pages> <year>2012</year> <volume>6</volume> <number>5</number> <journal>International Journal of Biomedical and Biological Engineering</journal> <ee>https://publications.waset.org/pdf/313</ee> <url>https://publications.waset.org/vol/65</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this study, a new and fast algorithm for Ascending Aorta (AscA) and Descending Aorta (DesA) segmentation is presented using Computed Tomography Angiography images. This process is quite important especially at the detection of aortic plaques, aneurysms, calcification or stenosis. The applied method has been carried out at four steps. At first step, lung segmentation is achieved. At the second one, Mediastinum Region (MR) is detected to use in the segmentation. At the third one, images have been applied optimal threshold and components which are outside of the MR were removed. Lastly, identifying and segmentation of AscA and DesA have been carried out. The performance of the applied method is found quite well for radiologists and it gives enough results to the surgeries medically.</abstract> <index>Open Science Index 65, 2012</index> </article>