{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T07:31:44Z","timestamp":1753860704470,"version":"3.41.2"},"reference-count":34,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:00:00Z","timestamp":1643241600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>An in\u2010house hybrid deformable image registration (DIR) method, which combines free\u2010form deformation (FFD) and the viscous fluid registration method, is proposed. Its results on the planning computed tomography (CT) and the day 1 treatment cone\u2010beam CT (CBCT) image from 68 head and neck cancer patients are compared with the results of NiftyReg, which uses B\u2010spline FFD alone. Several similarity metrics, the target registration error (TRE) of annotated points, as well as the Dice similarity coefficient (DSC) and Hausdorff distance (HD) of the propagated organs at risk are employed to analyze their registration accuracy. According to quantitative analysis on mutual information, normalized cross\u2010correlation, and the absolute pixel value differences, the results of the proposed DIR are more similar to the CBCT images than the NiftyReg results. Smaller TRE of the annotated points is observed in the proposed method, and the overall mean TRE for the proposed method and NiftyReg was 2.34 and 2.98\u00a0mm, respectively (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001). The mean DSC in the larynx, spinal cord, oral cavity, mandible, and parotid given by the proposed method ranged from 0.78 to 0.91, significantly higher than the NiftyReg results (ranging from 0.77 to 0.90), and the HD was significantly lower compared to NiftyReg. Furthermore, the proposed method did not suffer from unrealistic deformations as the NiftyReg did in the visual evaluation. Meanwhile, the execution time of the proposed method was much higher than NiftyReg (96.98 \u00b1 11.88 s vs. 4.60 \u00b1 0.49 s). In conclusion, the in\u2010house hybrid method gave better accuracy and more stable performance than NiftyReg.<\/jats:p>","DOI":"10.1002\/acm2.13540","type":"journal-article","created":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:28:46Z","timestamp":1643279326000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparison of an in\u2010house hybrid DIR method to NiftyReg on CBCT and CT images for head and neck cancer"],"prefix":"10.1002","volume":"23","author":[{"given":"Chunling","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Jiangxi Cancer Hospital of Nanchang University  Nanchang P. R. China"},{"name":"Key Laboratory of Personalized Diagnosis and Treatment of Nasopharyngeal Carcinoma Nanchang  Nanchang P. R. China"},{"name":"Medical College of Nanchang University  Nanchang P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuling","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Jiangxi Cancer Hospital of Nanchang University  Nanchang P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenggou","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Jiangxi Cancer Hospital of Nanchang University  Nanchang P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaochang","family":"Gong","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Jiangxi Cancer Hospital of Nanchang University  Nanchang P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingxing","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Jiangxi Cancer Hospital of Nanchang University  Nanchang P. R. 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