{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T16:44:40Z","timestamp":1792082680835,"version":"4.4.0"},"reference-count":45,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2017,1,27]],"date-time":"2017-01-27T00:00:00Z","timestamp":1485475200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["435897\u20102013"],"award-info":[{"award-number":["435897\u20102013"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2017,10]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To propose a robust and accurate method for straightening magnetic resonance (MR) images of the spinal cord, based on spinal cord segmentation, that preserves spinal cord topology and that works for any MRI contrast, in a context of spinal cord template\u2010based analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>The spinal cord curvature was computed using an iterative Non\u2010Uniform Rational B\u2010Spline (NURBS) approximation. Forward and inverse deformation fields for straightening were computed by solving analytically the straightening equations for each image voxel. Computational speed\u2010up was accomplished by solving all voxel equation systems as one single system. Straightening accuracy (mean and maximum distance from straight line), computational time, and robustness to spinal cord length was evaluated using the proposed and the standard straightening method (label\u2010based spline deformation) on 3T <jats:italic>T<\/jats:italic><jats:sub>2<\/jats:sub>\u2010 and <jats:italic>T<\/jats:italic><jats:sub>1<\/jats:sub>\u2010weighted images from 57 healthy subjects and 33 patients with spinal cord compression due to degenerative cervical myelopathy (DCM).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proposed algorithm was more accurate, more robust, and faster than the standard method (mean distance\u2009=\u20090.80 vs. 0.83\u2009mm, maximum distance\u2009=\u20091.49 vs. 1.78\u2009mm, time\u2009=\u200971 vs. 174 sec for the healthy population and mean distance\u2009=\u20090.65 vs. 0.68\u2009mm, maximum distance\u2009=\u20091.28 vs. 1.55\u2009mm, time\u2009=\u200932 vs. 60 sec for the DCM population).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>A novel image straightening method that enables template\u2010based analysis of quantitative spinal cord MRI data is introduced. This algorithm works for any MRI contrast and was validated on healthy and patient populations. The presented method is implemented in the Spinal Cord Toolbox, an open\u2010source software for processing spinal cord MRI data.<\/jats:p><jats:p><jats:bold>Level of Evidence:<\/jats:bold> 1<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 1<\/jats:p><jats:p>J. Magn. Reson. Imaging 2017;46:1209\u20131219.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.25622","type":"journal-article","created":{"date-parts":[[2017,1,28]],"date-time":"2017-01-28T03:17:54Z","timestamp":1485573474000},"page":"1209-1219","source":"Crossref","is-referenced-by-count":31,"title":["Topologically preserving straightening of spinal cord MRI"],"prefix":"10.1002","volume":"46","author":[{"given":"Benjamin","family":"De Leener","sequence":"first","affiliation":[{"name":"NeuroPoly Lab, Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Mangeat","sequence":"additional","affiliation":[{"name":"NeuroPoly Lab, Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Dupont","sequence":"additional","affiliation":[{"name":"NeuroPoly Lab, Institute of Biomedical Engineering Polytechnique 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