{"id":4070,"date":"2011-05-19T12:12:27","date_gmt":"2011-05-19T12:12:27","guid":{"rendered":"http:\/\/hgpu.org\/?p=4070"},"modified":"2011-05-19T12:12:27","modified_gmt":"2011-05-19T12:12:27","slug":"implementation-of-3d-monte-carlo-pet-reconstruction-algorithm-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4070","title":{"rendered":"Implementation of 3D Monte Carlo PET reconstruction algorithm on GPU"},"content":{"rendered":"<p>The presentation summarizes our achieved results within the framework of the cross-institutional research project called TeraTomo. The aim of the latter is to create a high-speed algorithm optimized on graphics processors (GPU) providing more accurate PET reconstructions by taking advantage from CT data. The current paper discusses a hit-and-miss Monte Carlo approach as an &#8220;on-the-fly&#8221; forward projector of an ML-EM algorithm.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The presentation summarizes our achieved results within the framework of the cross-institutional research project called TeraTomo. The aim of the latter is to create a high-speed algorithm optimized on graphics processors (GPU) providing more accurate PET reconstructions by taking advantage from CT data. The current paper discusses a hit-and-miss Monte Carlo approach as an &#8220;on-the-fly&#8221; [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[33,38,3],"tags":[479,478,1786,512,1788,72,20,466,234,251,591],"class_list":["post-4070","post","type-post","status-publish","format-standard","hentry","category-image-processing","category-medicine","category-paper","tag-computed-tomography","tag-ct","tag-image-processing","tag-image-reconstruction","tag-medicine","tag-monte-carlo-simulation","tag-nvidia","tag-nvidia-geforce-9600-gt","tag-nvidia-geforce-gtx-280","tag-nvidia-geforce-gtx-285","tag-pet"],"views":1992,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4070","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4070"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4070\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}