{"id":8640,"date":"2012-12-12T00:05:23","date_gmt":"2012-12-11T22:05:23","guid":{"rendered":"http:\/\/hgpu.org\/?p=8640"},"modified":"2012-12-12T00:05:23","modified_gmt":"2012-12-11T22:05:23","slug":"fft-parallel-implementation-for-mri-image-reconstruction","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8640","title":{"rendered":"FFT Parallel Implementation for MRI Image Reconstruction"},"content":{"rendered":"<p>This paper describes FFT Cooley-Tukey algorithm implementation used in MRI image reconstruction on a revolutionary  parallel computing machine, Connex Array. By taking advantage of it&#8217;s vectorial structure and processing manner, MRI image reconstruction was much faster than most of usual MRI commercial scanners. Results are remarkable. Our proposal in this paper is the use of Connex Array in real-time MRI systems, where  reconstruction  time grows seriously as the number of taken sections grows.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper describes FFT Cooley-Tukey algorithm implementation used in MRI image reconstruction on a revolutionary parallel computing machine, Connex Array. By taking advantage of it&#8217;s vectorial structure and processing manner, MRI image reconstruction was much faster than most of usual MRI commercial scanners. Results are remarkable. Our proposal in this paper is the use of [&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":[89,33,3],"tags":[14,207,1786,512,807,20,880],"class_list":["post-8640","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-image-processing","category-paper","tag-cuda","tag-fft","tag-image-processing","tag-image-reconstruction","tag-mri","tag-nvidia","tag-nvidia-quadro-fx-4400"],"views":2696,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8640","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=8640"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8640\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}