Metabolic Imaging in Neurodegenerative Disease using CEST MRI

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" 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href="http://pinterest.com/pin/create/button/?url=https%3a%2f%2fwww.news-medical.net%2fwebinar%2fMetabolic-Imaging-in-Neurodegenerative-Disease-using-CEST-MRI" title="Pinterest" target="_blank"> <div class="share-wrapper"> <div aria-hidden="true" class="icon icon-pinterest"></div> </div> </a> </li> <li class="email no-count"> <a href="#" onclick="return Azom.displayShareViaEmail();" title="Email" target="_blank"> <div class="share-wrapper"> <div aria-hidden="true" class="icon icon-envelop"></div> </div> </a> </li> </ul> </div> <div class='item-body content-item-body clearfix topgap'> <h1 itemprop="name" class="page-title">Metabolic Imaging in Neurodegenerative Disease using CEST MRI</h1> <div class="in-content-ctas-container in-content-ctas-container-top"> <div class="in-content-ctas in-content-ctas-top cta-btns-cols-3"> <ul> <li class="cta-printpdf"><a href="#" class="request-pdf-download" onclick="return false;"><span class="cta-text"><span>Download</span> <span>PDF Copy</span></span></a></li><li class="cta-supplier-profile"><a href="/suppliers/Bruker-BioSpin-NMR-EPR-and-Imaging.aspx"><span class="cta-text"><span>View</span> <span>Supplier</span> <span>Profile</span></span></a></li><li class="cta-webinar"><a href="https://www.bruker.com/en/news-and-events/webinars/2017/metabolic-imaging-in-neurodegenerative-disease-using-cest-mri.html?utm_source=Advertising&utm_medium=PaidMediaAdvertorial&utm_campaign=BBIO-Clin" rel="sponsored noopener"><span class="cta-text"><span>Watch</span> <span>the</span> <span>Webinar</span></span></a></li> </ul> </div> </div> <div class="page-content"> <div class="article-meta"> <span class="article-meta-contents"> <span class="article-meta-left"> <span class="article-meta-author"> <span itemprop="organizer" itemscope itemtype="http://schema.org/Organization">From <a href="/suppliers/Bruker-BioSpin-NMR-EPR-and-Imaging.aspx" itemprop="url"><span itemprop="name">Bruker BioSpin - NMR, EPR and Imaging</span></a></span> </span> </span> <span class="article-meta-right"> <span class="article-meta-date">Feb 17 2017</span> </span> </span> </div> <span itemprop="location" itemscope itemtype="https://schema.org/VirtualLocation"><meta itemprop="url" content="https://www.bruker.com/en/news-and-events/webinars/2017/metabolic-imaging-in-neurodegenerative-disease-using-cest-mri.html?utm_source=Advertising&utm_medium=PaidMediaAdvertorial&utm_campaign=BBIO-Clin" /></span> <span itemprop="performer" itemscope itemtype="http://schema.org/Organization"><meta itemprop="url" content="/suppliers/Bruker-BioSpin-NMR-EPR-and-Imaging.aspx" /><meta itemprop="name" content="Bruker BioSpin - NMR, EPR and Imaging" /></span> <span itemprop="offers" itemscope itemtype="https://schema.org/Offer"><meta itemprop="url" content="https://www.news-medical.net/webinar/Metabolic-Imaging-in-Neurodegenerative-Disease-using-CEST-MRI" /><meta itemprop="price" content="0" /><meta itemprop="priceCurrency" content="USD" /><meta itemprop="availability" content="https://schema.org/InStock" /><meta itemprop="validFrom" content="Dec 12 2017" /></span> <div class="clearfix"> <h2>Seminar Overview</h2> <p>Chemical Exchange Saturation Transfer (CEST) imaging has emerged over the past decade as a new and innovative MRI contrast method, specifically designed for molecular imaging. This original approach can detect small amounts of contrast agent through saturation of fast exchanging protons, allowing for a larger number of imaging schemes and techniques. CEST particularly benefits from high magnetic fields, such as 11.7T in the research presented.</p> <p>Thanks to optimization of the saturation parameters (e.g. saturation intensity, offset and duration), it is possible to probe different exchanging protons. Thus, CEST offers the possibility to detect a large variety of metabolites including glutamate, glucose, or creatine. This confers to CEST the potential to provide valuable clues about various pathological features in a single experiment.</p> <p>In this webinar, Dr. Julien Flament of Molecular Imaging Research Center (MIRCen, CEA), Fontenay-aux-Roses, France, will present an introduction to the theoretical background of Chemical Exchange Saturation Transfer (CEST) imaging and its potential in neurodegenerative disease research.</p> <h2>Presenter</h2> <p style="text-align: center;"><img alt="Presenter feb16 webinar bruker" height="160" src="https://d2jx2rerrg6sh3.cloudfront.net/image-handler/picture/2018/2/csm_presenter-feb16-webinar-bruker_5d191449e9.jpg" width="160" /></p> <p style="text-align: center;"><strong>PhD Julien Flament </strong>- Permanent Inserm Research Engineer, Molecular Imaging Research Center (MIRCen, CEA), Fontenay-aux-Roses, France</p> <h2>Who should attend?</h2> <p>This Webinar is of interest to researcher and professionals working in the field of neurodegenerative diseases including people using CEST imaging.</p> </div> </div> <div class="in-content-ctas-container in-content-ctas-container-bottom"> <div class="in-content-ctas in-content-ctas-bottom cta-btns-cols-3"> <ul> <li class="cta-printpdf"><a href="#" class="request-pdf-download" onclick="return false;"><span class="cta-text"><span>Download</span> <span>PDF Copy</span></span></a></li><li class="cta-supplier-profile"><a href="/suppliers/Bruker-BioSpin-NMR-EPR-and-Imaging.aspx"><span class="cta-text"><span>View</span> <span>Supplier</span> <span>Profile</span></span></a></li><li class="cta-webinar"><a href="https://www.bruker.com/en/news-and-events/webinars/2017/metabolic-imaging-in-neurodegenerative-disease-using-cest-mri.html?utm_source=Advertising&utm_medium=PaidMediaAdvertorial&utm_campaign=BBIO-Clin" rel="sponsored noopener"><span class="cta-text"><span>Watch</span> <span>the</span> <span>Webinar</span></span></a></li> </ul> </div> </div> </div> <h2>Other Webinars from Bruker BioSpin - NMR, EPR and Imaging</h2> <script type="text/javascript"> $(function () { BlogEngine.initItemImagesWithLinks(); }); </script> <div class='item-images-and-links'> <div class="item-images"> <div class="item col-sm-4 col-ms-6 col-xs-12 item-image-cols3-left item-image-cols2-left" data-item-id="0"> <a href="/webinar/Dynamic-Nuclear-Polarization-in-the-study-of-pharmaceuticals"> <span class="img-wrap"><img src="https://d2jx2rerrg6sh3.cloudfront.net/images/webinars/ThumbImage_5.jpg" alt="Dynamic Nuclear Polarization in the study of pharmaceuticals"></span> <p class="item-title">Dynamic Nuclear Polarization in the study of pharmaceuticals</p> </a> </div> <div class="item col-sm-4 col-ms-6 col-xs-12 item-image-cols3-middle item-image-cols2-right" data-item-id="0"> <a href="/webinar/Potency-Determination-by-qNMR"> <span class="img-wrap"><img src="https://d2jx2rerrg6sh3.cloudfront.net/images/webinars/ThumbImage_7.jpg" alt="Potency Determination by qNMR"></span> <p class="item-title">Potency Determination by qNMR</p> </a> </div> <div class="item col-sm-4 col-ms-6 col-xs-12 item-image-cols3-right item-image-cols2-left" data-item-id="0"> <a href="/webinar/High-speed-spectroscopy-New-AVANCE-NEO"> <span class="img-wrap"><img src="https://d2jx2rerrg6sh3.cloudfront.net/images/webinars/ThumbImage_8.jpg" alt="High speed spectroscopy – New AVANCE NEO"></span> <p class="item-title">High speed spectroscopy – New AVANCE NEO</p> </a> </div> <div class="item col-sm-4 col-ms-6 col-xs-12 item-image-cols3-left item-image-cols2-right" data-item-id="0"> <a href="/webinar/Is-it-really-pure-honey-Detecting-adulterations-frauds-and-quality-issues-by-NMR-based-Honey-Profiling"> <span class="img-wrap"><img src="https://d2jx2rerrg6sh3.cloudfront.net/images/webinars/ThumbImage_9.jpg" alt="Is it really pure honey? 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