{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T06:10:19Z","timestamp":1780380619897,"version":"3.54.1"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T00:00:00Z","timestamp":1661299200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1P01CA261669"],"award-info":[{"award-number":["1P01CA261669"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Successful generation of biomechanical\u2010model\u2010based deformable image registration (BM\u2010DIR) relies on user\u2010defined parameters that dictate surface mesh quality. The trial\u2010and\u2010error process to determine the optimal parameters can be labor\u2010intensive and hinder DIR efficiency and clinical workflow.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To identify optimal parameters in surface mesh generation as boundary conditions for a BM\u2010DIR in longitudinal liver and lung CT images to facilitate streamlined image registration processes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Contrast\u2010enhanced CT images of 29 colorectal liver cancer patients and end\u2010exhale four\u2010dimensional CT images of 26 locally advanced non\u2010small cell lung cancer patients were collected. Different combinations of parameters that determine the triangle mesh quality (voxel side length and triangle edge length) were investigated. The quality of DIRs generated using these parameters was evaluated with metrics for geometric accuracy, robustness, and efficiency. Metrics for geometric accuracy included target registration error (TRE) of internal vessel bifurcations, dice similar coefficient (DSC), mean distance to agreement (MDA), Hausdorff distance (HD) for organ contours, and number of vertices in the triangle mesh. American Association of Physicists in Medicine Task Group 132 was used to ensure parameters met TRE, DSC, MDA recommendations before the comparison among the parameters. Robustness was evaluated as the success rate of DIR generation, and efficiency was evaluated as the total time to generate boundary conditions and compute finite element analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Voxel side length of 0.2\u00a0cm and triangle edge length of 3 were found to be the optimal parameters for both liver and lung, with success rate of 1.00 and 0.98 and average DIR computation time of 100 and 143\u00a0s, respectively. For this combination, the average TRE, DSC, MDA, and HD were 0.38\u20130.40, 0.96\u20130.97, 0.09\u20130.12, and 0.87\u20131.17\u00a0mm, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The optimal parameters were found for the analyzed patients. The decision\u2010making process described in this study serves as a recommendation for BM\u2010DIR algorithms to be used for liver and lung. These parameters can facilitate consistence in the evaluation of published studies and more widespread utilization of BM\u2010DIR in clinical practice.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.15939","type":"journal-article","created":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T05:33:17Z","timestamp":1660800797000},"page":"323-329","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical\u2010model\u2010based deformable image registration"],"prefix":"10.1002","volume":"50","author":[{"given":"Yulun","family":"He","sequence":"first","affiliation":[{"name":"Department of Imaging Physics The University of Texas MD Anderson Cancer Center  Houston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian M.","family":"Anderson","sequence":"additional","affiliation":[{"name":"Department of Imaging 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