{"id":8424,"date":"2012-10-28T21:59:16","date_gmt":"2012-10-28T19:59:16","guid":{"rendered":"http:\/\/hgpu.org\/?p=8424"},"modified":"2012-10-28T21:59:16","modified_gmt":"2012-10-28T19:59:16","slug":"parallel-computation-of-a-spect-projection-operator-for-a-content-adaptative-mesh-model","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8424","title":{"rendered":"Parallel computation of a SPECT projection operator for a content adaptative mesh model"},"content":{"rendered":"<p>In this paper we explore a parallel implementation for fast calculation of a tomographic projection operator for content-adaptive mesh model (CAMM) image reconstruction. Previously we introduced 2D and 3D tomographic image reconstruction using a CAMM for single positron emission computed tomography (SPECT). The proposed parallel method is fast and allows incorporation of a non-uniform attenuation and distance-dependent spatial resolution of the imaging system. This implementation establishes a necessary step for the future development and practical use of the CAMM tomo-graphic reconstruction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper we explore a parallel implementation for fast calculation of a tomographic projection operator for content-adaptive mesh model (CAMM) image reconstruction. Previously we introduced 2D and 3D tomographic image reconstruction using a CAMM for single positron emission computed tomography (SPECT). The proposed parallel method is fast and allows incorporation of a non-uniform attenuation [&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":[38,90,3],"tags":[479,478,512,1788,20,1793,1006,567],"class_list":["post-8424","post","type-post","status-publish","format-standard","hentry","category-medicine","category-opencl","category-paper","tag-computed-tomography","tag-ct","tag-image-reconstruction","tag-medicine","tag-nvidia","tag-opencl","tag-tesla-c2070","tag-tomography"],"views":2404,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8424","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=8424"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8424\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}