{"id":3769,"date":"2011-05-01T18:31:41","date_gmt":"2011-05-01T18:31:41","guid":{"rendered":"http:\/\/hgpu.org\/?p=3769"},"modified":"2011-05-01T18:31:41","modified_gmt":"2011-05-01T18:31:41","slug":"real-time-rendering-algorithm-for-virtual-endoscopy-based-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3769","title":{"rendered":"Real-Time Rendering Algorithm for Virtual Endoscopy Based on GPU"},"content":{"rendered":"<p>In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU&#8217;s power of parallel computation computing and multi-data processing. Experimental results show that for the image of CT(512x512x355), this algorithm can achieve 30 frames \/ sec or better rendering speed without affecting the resolution of the image.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU&#8217;s [&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":[479,478,1786,1788,297,144],"class_list":["post-3769","post","type-post","status-publish","format-standard","hentry","category-image-processing","category-medicine","category-paper","tag-computed-tomography","tag-ct","tag-image-processing","tag-medicine","tag-real-time-graphics","tag-rendering"],"views":2033,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3769","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=3769"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3769\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}