{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T11:20:27Z","timestamp":1778412027684,"version":"3.51.4"},"reference-count":28,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T00:00:00Z","timestamp":1713398400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>We evaluate the performance of a deformable image registration (DIR) software package in registering abdominal magnetic resonance images (MRIs) and then develop a mechanical modeling method to mitigate detected DIR uncertainties.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Three evaluation metrics, namely mean displacement to agreement (MDA), DICE similarity coefficient (DSC), and standard deviation of Jacobian determinants (STD\u2010JD), are used to assess the multi\u2010modality (MM), contour\u2010consistency (CC), and image\u2010intensity (II)\u2010based DIR algorithms in the MIM software package, as well as an in\u2010house developed, contour matching\u2010based finite element method (CM\u2010FEM). Furthermore, we develop a hybrid FEM registration technique to modify the displacement vector field of each MIM registration. The MIM and FEM registrations were evaluated on MRIs obtained from 10 abdominal cancer patients. One\u2010tailed Wilcoxon\u2010Mann\u2010Whitney (WMW) tests were conducted to compare the MIM registrations with their FEM modifications.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>For the registrations performed with the MIM\u2010CC, MIM\u2010MM, MIM\u2010II, and CM\u2010FEM algorithms, their average MDAs are 0.62\u00a0\u00b1\u00a00.27, 2.39\u00a0\u00b1\u00a01.30, 3.07\u00a0\u00b1\u00a02.42, 1.04\u00a0\u00b1\u00a00.72\u00a0mm, and average DSCs are 0.94\u00a0\u00b1\u00a00.03, 0.80\u00a0\u00b1\u00a00.12, 0.77\u00a0\u00b1\u00a00.15, 0.90\u00a0\u00b1\u00a00.11, respectively. The <jats:italic>p<\/jats:italic>\u2010values of the WMW tests between the MIM registrations and their FEM modifications are less than 0.0084 for STD\u2010JDs and greater than 0.87 for MDA and DSC.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Among the three MIM DIR algorithms, MIM\u2010CC shows the smallest errors in terms of MDA and DSC but exhibits significant Jacobian uncertainties in the interior regions of abdominal organs. The hybrid FEM technique effectively mitigates the Jacobian uncertainties in these regions.<\/jats:p><\/jats:sec>","DOI":"10.1002\/acm2.14358","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T14:15:07Z","timestamp":1713449707000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Evaluation and mitigation of deformable image registration uncertainties for MRI\u2010guided adaptive radiotherapy"],"prefix":"10.1002","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3519-0815","authenticated-orcid":false,"given":"Hualiang","family":"Zhong","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Medical College of Wisconsin  Milwaukee Wisconsin USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristofer K.","family":"Kainz","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Medical College of Wisconsin  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