{"id":1469,"date":"2010-11-16T06:54:27","date_gmt":"2010-11-16T06:54:27","guid":{"rendered":"http:\/\/hgpu.org\/?p=1469"},"modified":"2010-11-16T06:54:27","modified_gmt":"2010-11-16T06:54:27","slug":"gpu-accelerated-robotic-intra-operative-laparoscopic-3d-reconstruction","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=1469","title":{"rendered":"GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction"},"content":{"rendered":"<p>In this paper we present a real-time intra-operative reconstruction system for laparoscopic surgery. The system builds upon a surgical robot for laparoscopy that has previously been developed by us. Such a system is valuable for surgeons, who can get a three dimensional visualization of the scene online, without having to postprocess data. We gain a significant speed increase over existing such systems by carefully parallelizing tasks and using the GPU for computationally expensive sub-tasks, making real-time reconstruction and visualization possible. Our implementation is also robust with respect to outliers and can potentially be extended to be used with non-robotic surgery. We demonstrate the performance of our system on ex-vivo samples and compare it to alternative implementations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper we present a real-time intra-operative reconstruction system for laparoscopic surgery. The system builds upon a surgical robot for laparoscopy that has previously been developed by us. Such a system is valuable for surgeons, who can get a three dimensional visualization of the scene online, without having to postprocess data. We gain a [&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":[38,3],"tags":[512,1788,20,357,183],"class_list":["post-1469","post","type-post","status-publish","format-standard","hentry","category-medicine","category-paper","tag-image-reconstruction","tag-medicine","tag-nvidia","tag-nvidia-geforce-8800-gts","tag-nvidia-geforce-8800-gtx"],"views":2175,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1469","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=1469"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1469\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}