{"id":337,"date":"2013-01-11T12:04:32","date_gmt":"2013-01-11T17:04:32","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/masi\/?p=337"},"modified":"2016-10-31T12:11:49","modified_gmt":"2016-10-31T17:11:49","slug":"system-for-integrated-neuroimaging-analysis-and-processing-of-structure","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/masi\/2013\/01\/system-for-integrated-neuroimaging-analysis-and-processing-of-structure\/","title":{"rendered":"System for Integrated Neuroimaging Analysis and Processing of Structure."},"content":{"rendered":"<p>Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung Pham, Pierre-Louis Bazin, Susan M. Resnick, and Jerry L. Prince. \u201cSystem for Integrated Neuroimaging Analysis and Processing of Structure.\u201d Neuroinformatics. 2013 Jan;11(1):91-10 PMC22932976 \u2020<\/p>\n<p><strong>Full Text: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22932976\">https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22932976<\/a><\/strong><\/p>\n<h2>Abstract:<\/h2>\n<p>Mapping brain <span class=\"highlight\">structure<\/span> in relation to neurological development, function, plasticity, and disease is widely considered to be one of the most essential challenges for opening new lines of neuro-scientific inquiry. Recent developments with MRI <span class=\"highlight\">analysis<\/span> of structural connectivity, anatomical brain segmentation, cortical surface parcellation, and functional imaging have yielded fantastic advances in our ability to probe the neurological <span class=\"highlight\">structure<\/span>-function relationship in vivo. To date, the image <span class=\"highlight\">analysis<\/span> efforts in each of these areas have typically focused on a single modality. Here, we extend the cortical reconstruction using implicit surface evolution (CRUISE) methodology to perform efficient, consistent, and topologically correct analyses in a natively multi-parametric manner. This effort combines and extends state-of-the-art techniques to simultaneously consider and analyze structural and diffusion information alongside quantitative and functional imaging data. Robust and consistent estimates of the cortical surface extraction, cortical labeling, diffusion-inferred contrasts, diffusion tractography, and subcortical parcellation are demonstrated in a scan-rescan paradigm. Accompanying this demonstration, we present a fully automated software <span class=\"highlight\">system<\/span> complete with validation data.<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-341\" src=\"https:\/\/my.vanderbilt.edu\/masi\/wp-content\/uploads\/sites\/2304\n2661\/2016\/10\/nihms531393f4-4.jpg\" alt=\"nihms531393f4\" width=\"500\" height=\"631\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung Pham, Pierre-Louis Bazin, Susan M. Resnick, and Jerry L. Prince. \u201cSystem for Integrated Neuroimaging Analysis and Processing of Structure.\u201d Neuroinformatics. 2013 Jan;11(1):91-10 PMC22932976 \u2020 Full Text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22932976 Abstract: Mapping brain structure in relation to neurological development,&#8230;<\/p>\n","protected":false},"author":6299,"featured_media":341,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,49],"tags":[53,52,51,50],"class_list":["post-337","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-neuroimaging","category-tractography","tag-cruise","tag-mri","tag-parcellation","tag-tractography"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/337","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\/6299"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/comments?post=337"}],"version-history":[{"count":1,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/337\/revisions"}],"predecessor-version":[{"id":349,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/337\/revisions\/349"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media\/341"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media?parent=337"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/categories?post=337"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/tags?post=337"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}