{"id":4345,"date":"2011-06-14T17:05:27","date_gmt":"2011-06-14T17:05:27","guid":{"rendered":"http:\/\/hgpu.org\/?p=4345"},"modified":"2011-06-14T17:05:27","modified_gmt":"2011-06-14T17:05:27","slug":"real-time-numerical-dispersion-compensation-using-graphics-processing-unit-for-fourier-domain-optical-coherence-tomography","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4345","title":{"rendered":"Real-time numerical dispersion compensation using graphics processing unit for Fourier-domain optical coherence tomography"},"content":{"rendered":"<p>Numerical dispersion compensation for both standard and full-range Fourier-domain optical coherence tomography (FD-OCT) on the graphics processing unit (GPU) architecture has been implemented. The data acquisition, processing and image display were performed on a multi-thread, CPU-GPU heterogeneous computing system. The real-time ultra-high-resolution full-range complex-conjugate-free FD-OCT imaging was demonstrated at 68.4 frame\/s with a frame size of 1024 (lateral) by 2048 (axial) pixels.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Numerical dispersion compensation for both standard and full-range Fourier-domain optical coherence tomography (FD-OCT) on the graphics processing unit (GPU) architecture has been implemented. The data acquisition, processing and image display were performed on a multi-thread, CPU-GPU heterogeneous computing system. The real-time ultra-high-resolution full-range complex-conjugate-free FD-OCT imaging was demonstrated at 68.4 frame\/s with a frame size [&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":[3,12],"tags":[20,974,1783,567],"class_list":["post-4345","post","type-post","status-publish","format-standard","hentry","category-paper","category-physics","tag-nvidia","tag-nvidia-geforce-gtx-580","tag-physics","tag-tomography"],"views":2009,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4345","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=4345"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4345\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4345"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4345"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}