{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:30:38Z","timestamp":1787167838138,"version":"build-2736575974"},"reference-count":53,"publisher":"IOP Publishing","issue":"16","license":[{"start":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T00:00:00Z","timestamp":1690761600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T00:00:00Z","timestamp":1690761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100012524","name":"American Lebanese Syrian Associated Charities","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012524","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2023,8,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . This study aimed to develop a novel method for generating synthetic CT (sCT) from cone-beam CT (CBCT) of the abdomen\/pelvis with bowel gas pockets to facilitate estimation of proton ranges.\n                    <jats:italic>Approach<\/jats:italic>\n                    . CBCT, the same-day repeat CT, and the planning CT (pCT) of 81 pediatric patients were used for training (\n                    <jats:italic>n<\/jats:italic>\n                    = 60), validation (\n                    <jats:italic>n<\/jats:italic>\n                    = 6), and testing (\n                    <jats:italic>n<\/jats:italic>\n                    = 15) of the method. The proposed method hybridizes unsupervised deep learning (CycleGAN) and deformable image registration (DIR) of the pCT to CBCT. The CycleGAN and DIR are respectively applied to generate the geometry-weighted (high spatial-frequency) and intensity-weighted (low spatial-frequency) components of the sCT, thereby each process deals with only the component weighted toward its strength. The resultant sCT is further improved in bowel gas regions and other tissues by iteratively feeding back the sCT to adjust incorrect DIR and by increasing the contribution of the deformed pCT in regions of accurate DIR.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The hybrid sCT was more accurate than deformed pCT and CycleGAN-only sCT as indicated by the smaller mean absolute error in CT numbers (28.7 \u00b1 7.1 HU versus 38.8 \u00b1 19.9 HU\/53.2 \u00b1 5.5 HU;\n                    <jats:italic>P<\/jats:italic>\n                    \u2264 0.012) and higher Dice similarity of the internal gas regions (0.722 \u00b1 0.088 versus 0.180 \u00b1 0.098\/0.659 \u00b1 0.129;\n                    <jats:italic>P<\/jats:italic>\n                    \u2264 0.002). Accordingly, the hybrid method resulted in more accurate proton range for the beams intersecting gas pockets (11 fields in 6 patients) than the individual methods (the 90th percentile error in 80% distal fall-off, 1.8  \u00b1  0.6 mm versus 6.5 \u00b1 7.8 mm\/3.7  \u00b1  1.5 mm;\n                    <jats:italic>P<\/jats:italic>\n                    \u2264 0.013). The gamma passing rates also showed a significant dosimetric advantage by the hybrid method (99.7 \u00b1 0.8% versus 98.4 \u00b1 3.1%\/98.3 \u00b1 1.8%;\n                    <jats:italic>P<\/jats:italic>\n                    \u2264 0.007).\n                    <jats:italic>Significance<\/jats:italic>\n                    . The hybrid method significantly improved the accuracy of sCT and showed promises in CBCT-based proton range verification and adaptive replanning of abdominal\/pelvic proton therapy even when gas pockets are present in the beam path.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ace754","type":"journal-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T18:32:16Z","timestamp":1689273136000},"page":"165004","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration"],"prefix":"10.1088","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6837-8681","authenticated-orcid":true,"given":"Jinsoo","family":"Uh","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob A","family":"Jordan","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"},{"name":"The University of Tennessee Health Science Center"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fakhriddin","family":"Pirlepesov","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jared B","family":"Becksfort","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ozgur","family":"Ates","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew J","family":"Krasin","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chia-Ho","family":"Hua","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, St. Jude Children\u2019s Research Hospital, Memphis, TN,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2023,7,31]]},"reference":[{"key":"pmbace754bib1","doi-asserted-by":"publisher","first-page":"e43","DOI":"10.1002\/mp.12256","type":"journal-article","article-title":"Use of image registration and fusion algorithms and techniques in radiotherapy: report of the AAPM radiation therapy committee task group No. 132","volume":"44","author":"Brock","year":"2017","journal-title":"Med. 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