{"id":263,"date":"2014-12-31T11:50:56","date_gmt":"2014-12-31T16:50:56","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/masi\/?p=263"},"modified":"2016-11-04T20:29:11","modified_gmt":"2016-11-05T01:29:11","slug":"robust-optic-nerve-segmentation-on-clinically-acquired-ct","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/masi\/2014\/12\/robust-optic-nerve-segmentation-on-clinically-acquired-ct\/","title":{"rendered":"Robust Optic Nerve Segmentation on Clinically Acquired CT"},"content":{"rendered":"<p>Robert Harrigan, Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Benjamin C. W. Yvernault, Seth A. Smith, Robert L. Galloway, Louise A. Mawn, Bennett A. Landman \u201cRobust Optic Nerve Segmentation on Clinically Acquired CT.\u201d Journal of Medical Imaging. 1(3), 034006 (Dec 17, 2014). \u2020 PMC3903299<\/p>\n<p><strong>Full Text:<\/strong> <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26158064\">https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26158064<\/a><\/p>\n<h2>Abstract<\/h2>\n<p>The optic nerve (ON) plays a critical role in many devastating pathological conditions. Segmentation of the ON has the ability to provide understanding of anatomical development and progression of diseases of the ON. Recently, methods have been proposed to segment the ON but progress toward full automation has been limited. We optimize registration and fusion methods for a new multi-atlas framework for automated segmentation of the ONs, eye globes, and muscles on clinically acquired computed tomography (CT) data. Briefly, the multi-atlas approach consists of determining a region of interest within each scan using affine registration, followed by nonrigid registration on reduced field of view atlases, and performing statistical fusion on the results. We evaluate the robustness of the approach by segmenting the ON structure in 501 clinically acquired CT scan volumes obtained from 183 subjects from a thyroid eye disease patient population. A subset of 30 scan volumes was manually labeled to assess accuracy and guide method choice. Of the 18 compared methods, the ANTS Symmetric Normalization registration and nonlocal spatial simultaneous truth and performance level estimation statistical fusion resulted in the best overall performance, resulting in a median Dice similarity coefficient of 0.77, which is comparable with inter-rater (human) reproducibility at 0.73.<\/p>\n<figure id=\"attachment_279\" aria-describedby=\"caption-attachment-279\" style=\"width: 500px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-279\" src=\"https:\/\/my.vanderbilt.edu\/masi\/wp-content\/uploads\/sites\/2304\n2661\/2016\/10\/JMI-001-034006-g005.jpg\" alt=\"Qualitative results for the optimal multi-atlas segmentation approach for seven subjects are shown. For a typical subject, the top rows compare manual and automatic results for a representative 2-D slice. The bottom rows show pointwise surface distance error of the label fusion estimate for the ONs and the eye globe structure. The proposed multi-atlas pipeline results in reasonably accurate segmentations for the ON structure. However, slight oversegmentations of the ONs can be observed in certain cases (subjects 4 and 7) supporting the results in the volumetry section\" width=\"500\" height=\"272\" \/><figcaption id=\"caption-attachment-279\" class=\"wp-caption-text\">Qualitative results for the optimal multi-atlas segmentation approach for seven subjects are shown. For a typical subject, the top rows compare manual and automatic results for a representative 2-D slice. The bottom rows show pointwise surface distance error of the label fusion estimate for the ONs and the eye globe structure. The proposed multi-atlas pipeline results in reasonably accurate segmentations for the ON structure. However, slight oversegmentations of the ONs can be observed in certain cases (subjects 4 and 7) supporting the results in the volumetry section<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Robert Harrigan, Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Benjamin C. W. Yvernault, Seth A. Smith, Robert L. Galloway, Louise A. Mawn, Bennett A. Landman \u201cRobust Optic Nerve Segmentation on Clinically Acquired CT.\u201d Journal of Medical Imaging. 1(3), 034006 (Dec 17, 2014). \u2020 PMC3903299 Full Text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26158064 Abstract The optic nerve (ON) plays a&#8230;<\/p>\n","protected":false},"author":2034,"featured_media":279,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,3],"tags":[36,21],"class_list":["post-263","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-eye-imaging","category-image-segmentation","tag-optic-nerve","tag-segmentation"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/users\/2034"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/comments?post=263"}],"version-history":[{"count":3,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/263\/revisions"}],"predecessor-version":[{"id":733,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/263\/revisions\/733"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media\/279"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media?parent=263"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/categories?post=263"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/tags?post=263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}