A Kernel-Based Approach for User-Guided Fiber Bundling using Diffusion Tensor Data

Raul San Jose Estepar, Marek Kubicki, Martha Shenton, Carl-Fredrik Westin
<span title="">2006</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4jz775kb7vdlro6pjxr5235ezm" style="color: black;">IEEE Engineering in Medicine and Biology Society. Conference Proceedings</a> </i> &nbsp;
This paper describes a novel user-guided method for grouping fibers from diffusion tensor MRI tractography into bundles. The method finds fibers, that passing through user-defined ROIs, still fit to the underlying data model given by the diffusion tensor. This is achieved by filtering the data and the ROIs with a kernel derived from a geodesic metric between tensors. A standard approach using binary decisions defining tracts passing through ROIs is critically dependent on ROIs that includes all
more &raquo; ... trace lines of interest. The method described in this paper uses a softer decision mechanism through a kernel which enables grouping of bundles driven less exact, or even single point, ROIs. The method analyzes the responses obtained from the convolution with a kernel function along the fiber with the ROI data. Results in real data shows the feasibility of the approach to fiber bundling.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iembs.2006.4397985">doi:10.1109/iembs.2006.4397985</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7p6chgmzxvdfbbq3b2esizu26e">fatcat:7p6chgmzxvdfbbq3b2esizu26e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20080425154915/http://lmi.bwh.harvard.edu/papers/pdfs/2006/san-joseEMBS06.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b2/dc/b2dcf4f20fa43b60a461d253e087a42f127efda5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iembs.2006.4397985"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>