In this paper we cast the problem of tomography in the realm of computer graphics. By using PBRT (physically based rendering toolkit) we create a scripting environment that simplifies the programming of tomography algorithms such as maximum-likelihood expectation maximization (ML-EM) or simultaneous algebraic reconstruction technique (SART, a deviant of ART). This allows the rapid development and testing of novel algorithms with a variety of parameter configurations. Additionally, it takes advantage of speed-up techniques that are common and well-researched in the graphics community, such as multi-resolution techniques based on octrees or similar space-partitioning data structures as well as algorithms accelerated through graphics hardware (GPU). Using our framework, we have evaluated different attenuation correction schemes during the back projection of ML-EM and SART<\/p>\n","protected":false},"excerpt":{"rendered":"
In this paper we cast the problem of tomography in the realm of computer graphics. By using PBRT (physically based rendering toolkit) we create a scripting environment that simplifies the programming of tomography algorithms such as maximum-likelihood expectation maximization (ML-EM) or simultaneous algebraic reconstruction technique (SART, a deviant of ART). This allows the rapid development […]<\/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":[36,38,3],"tags":[1787,512,1788,20,248,182,176,144,567],"class_list":["post-5097","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-medicine","category-paper","tag-algorithms","tag-image-reconstruction","tag-medicine","tag-nvidia","tag-nvidia-geforce-6600-gt","tag-opengl","tag-package","tag-rendering","tag-tomography"],"views":2247,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5097","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=5097"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5097\/revisions"}],"predecessor-version":[{"id":5211,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5097\/revisions\/5211"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}