{"id":1957,"date":"2018-12-15T11:53:33","date_gmt":"2018-12-15T16:53:33","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/masi\/?p=1957"},"modified":"2018-12-19T16:55:45","modified_gmt":"2018-12-19T21:55:45","slug":"can-increased-spatial-resolution-solve-the-crossing-fiber-problem-for-diffusion-mri","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/masi\/2018\/12\/can-increased-spatial-resolution-solve-the-crossing-fiber-problem-for-diffusion-mri\/","title":{"rendered":"Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?"},"content":{"rendered":"<p>Kurt G Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson. &#8220;Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?&#8221;. NMR in Biomedicine. (2017) 30(12),e3787. https:\/\/doi.org\/10.1002\/nbm.3787.<\/p>\n<p><strong>Full text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Can+increased+spatial+resolution+solve+the+crossing+fiber+problem+for+diffusion+MRI%3F<\/strong><\/p>\n<h2>Abstract<\/h2>\n<div id=\"mrm27512-sec-0001\" class=\"article-section__content\">It is now widely recognized that voxels with <span class=\"highlight\">crossing<\/span> fibers or complex geometrical configurations present a challenge for <span class=\"highlight\">diffusion<\/span> <span class=\"highlight\">MRI<\/span>(dMRI) reconstruction and <span class=\"highlight\">fiber<\/span> tracking, as well as microstructural modeling of brain tissues. This &#8220;<span class=\"highlight\">crossing<\/span> <span class=\"highlight\">fiber<\/span>&#8221; <span class=\"highlight\">problem<\/span> has been estimated to affect anywhere from 30% to as many as 90% of white matter voxels, and it is often assumed that increasing <span class=\"highlight\">spatial<\/span><span class=\"highlight\">resolution<\/span> will decrease the prevalence of voxels containing multiple <span class=\"highlight\">fiber<\/span> populations. The aim of this study is to estimate the extent of the <span class=\"highlight\">crossing<\/span> <span class=\"highlight\">fiber<\/span> <span class=\"highlight\">problem<\/span> as we progressively increase the <span class=\"highlight\">spatial<\/span> <span class=\"highlight\">resolution<\/span>, with the goal of determining whether it is possible to mitigate this <span class=\"highlight\">problem<\/span> with higher <span class=\"highlight\">resolution<\/span> <span class=\"highlight\">spatial<\/span> sampling. This is accomplished using ex vivo <span class=\"highlight\">MRI<\/span> data of the macaque brain, followed by histological analysis of the same specimen to validate these measurements, as well as to extend this analysis to resolutions not yet achievable in practice with <span class=\"highlight\">MRI<\/span>. In both dMRI and histology, we find unexpected results: the prevalence of <span class=\"highlight\">crossing<\/span> fibers increases as we increase <span class=\"highlight\">spatial<\/span> <span class=\"highlight\">resolution<\/span>. The <span class=\"highlight\">problem<\/span> of <span class=\"highlight\">crossing<\/span> fibers appears to be a fundamental limitation of dMRI associated with the complexity of brain tissue, rather than a technical <span class=\"highlight\">problem<\/span> that can be overcome with advances such as higher fields and stronger gradients.<\/div>\n<p><b>Keywords:<\/b><\/p>\n<p><span class=\"highlight\">crossing<\/span> fibers; <span class=\"highlight\">diffusion<\/span> <span class=\"highlight\">MRI<\/span>; histology; macaque; validation; white matter<\/p>\n<figure id=\"attachment_1958\" aria-describedby=\"caption-attachment-1958\" style=\"width: 357px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1958\" src=\"https:\/\/my.vanderbilt.edu\/masi\/wp-content\/uploads\/sites\/2304\n2661\/2018\/12\/tileshop.fcgi-3.jpeg\" alt=\"Fiber orientation estimation in a crossing fiber region. The results of structure tensor analysis on a myelin-stained histological slice shown as a color-coded orientation map (A), is shown zoomed in on two regions containing crossing (yellow box), and disperse (blue box) fibers. The resulting FODs are displayed at varying resolution levels (B). From the resulting FODs, voxels are characterized as crossing fiber (C; green) vs. not-crossing fibers (C; red), as well as single fiber (D; red) vs. complex fibers (D; green), at all resolutions. Note that \u201cnot-crossing\u201d voxels are those that with single fiber populations in addition to complex fibers that do not contain two discrete local maxima. Voxels from diffusion MRI in the same region are also displayed as single fiber (E; red) vs. crossing fibers (E; green). Histograms for this specific region of interest show percentages of crossing fibers (F; left) and percentages of complex fibers (F; middle) for histology, as well as percentage of crossing fibers (F; right) for dMRI.\" width=\"357\" height=\"455\" \/><figcaption id=\"caption-attachment-1958\" class=\"wp-caption-text\">Fiber orientation estimation in a crossing fiber region. The results of structure tensor analysis on a myelin-stained histological slice shown as a color-coded orientation map (A), is shown zoomed in on two regions containing crossing (yellow box), and disperse (blue box) fibers. The resulting FODs are displayed at varying resolution levels (B). From the resulting FODs, voxels are characterized as crossing fiber (C; green) vs. not-crossing fibers (C; red), as well as single fiber (D; red) vs. complex fibers (D; green), at all resolutions. Note that \u201cnot-crossing\u201d voxels are those that with single fiber populations in addition to complex fibers that do not contain two discrete local maxima. Voxels from diffusion MRI in the same region are also displayed as single fiber (E; red) vs. crossing fibers (E; green). Histograms for this specific region of interest show percentages of crossing fibers (F; left) and percentages of complex fibers (F; middle) for histology, as well as percentage of crossing fibers (F; right) for dMRI.<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kurt G Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson. &#8220;Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?&#8221;. NMR in Biomedicine. (2017) 30(12),e3787. https:\/\/doi.org\/10.1002\/nbm.3787. Full text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Can+increased+spatial+resolution+solve+the+crossing+fiber+problem+for+diffusion+MRI%3F Abstract It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for&#8230;<\/p>\n","protected":false},"author":6324,"featured_media":1958,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124,33,9,1,49],"tags":[],"class_list":["post-1957","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crossing-fibers","category-diffusion-tensor-imaging","category-diffusion-weighted-mri","category-news","category-tractography"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1957","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\/6324"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/comments?post=1957"}],"version-history":[{"count":1,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1957\/revisions"}],"predecessor-version":[{"id":1959,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1957\/revisions\/1959"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media\/1958"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media?parent=1957"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/categories?post=1957"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/tags?post=1957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}