{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:04:23Z","timestamp":1784217863388,"version":"3.55.0"},"reference-count":37,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12505424"],"award-info":[{"award-number":["12505424"]}],"id":[{"id":"10.13039\/501100001809","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":[[2026,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cone\u2010beam computed tomography (CBCT) is routinely used for image guidance in radiation therapy, but conventional full\u2010field CBCT acquisition may expose anatomically irrelevant regions and generate substantial scatter, which degrades soft\u2010tissue contrast and limits the accuracy of target localization and adaptive radiotherapy workflows. A clinically practical imaging strategy should improve image quality in the region of clinical interest while preserving sufficient full\u2010field anatomical information for patient setup and dose\u2010related assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To improve image quality within clinically relevant regions without increasing the total imaging dose, this study developed a dual\u2010scan conformal cone\u2010beam CT method using dynamic collimation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A dual\u2010scan conformal acquisition strategy using dynamic collimation was designed. Dynamic collimation was defined as angle\u2010dependent shaping of the X\u2010ray field around a preplanned target region; it was implemented with a multi\u2010leaf collimator model in the digital phantom and patient\u2010data simulations and with the movable kV collimator in the physical phantom measurement. Collimator positions were calculated from forward projections of the target region, and a target\u2010region\u2010based intensity\u2010optimization model was used to allocate more photons to projection angles and detector regions contributing to the target region. The dual\u2010scan protocol, consisting of a low\u2010dose full\u2010field\u2010of\u2010view (FOV) scan and a higher\u2010dose conformal scan, was reconstructed using a regularized weighted least\u2010squares algorithm with anisotropic total\u2010variation regularization. The method was evaluated using a FORBILD head phantom, patient planning CT datasets, and an anthropomorphic head phantom measured on a Varian Edge on\u2010board imaging system.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The proposed method achieved the best overall image quality among the compared methods. In the FORBILD phantom, for target region 1 (VOI1), SSIM increased from 0.702 to 0.855, CNR increased from 0.514 to 1.463, and SNR1\/SNR2 increased from 33.8\/32.8 to 113.1\/114.6 compared with conventional FDK reconstruction. In the prostate cancer case, CNR increased from 0.44 to 1.94, and SNR1\/SNR2 increased from 25.6\/23.3 to 74.6\/82.4. In the measured anthropomorphic head phantom, CNR improved from 1.036 to 2.379, and SNR1\/SNR2 improved from 42.8\/50.1 to 89.8\/98.0.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The proposed dual\u2010scan conformal CBCT strategy using dynamic collimation improves local image quality in the clinically relevant target region while maintaining full\u2010FOV information through the two\u2010scan protocol. This method may provide a practical route toward patient\u2010specific CBCT guidance for adaptive radiotherapy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acm2.70671","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T04:52:29Z","timestamp":1782276749000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual\u2010scan conformal cone\u2010beam CT for targeted image\u2010quality improvement using dynamic collimation"],"prefix":"10.1002","volume":"27","author":[{"given":"Yuxiang","family":"Liu","sequence":"first","affiliation":[{"name":"National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siqi","family":"Yuan","sequence":"additional","affiliation":[{"name":"National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Feng","sequence":"additional","affiliation":[{"name":"National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianrong","family":"Dai","sequence":"additional","affiliation":[{"name":"National Cancer Center\/National Clinical Research Center for Cancer\/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,23]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2015.09.035"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2021.09.004"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13014-023-02340-2"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13961"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2775667"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2825619"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2025.104937"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2011.10.072"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6498\/ab1e74"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2358324"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.3077122"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13164"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2948397"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/54\/21\/016"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A4590"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4728977"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4928474"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4943799"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.598779"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.598738"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2333031150"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/59\/16\/4525"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6498\/abebb4"},{"key":"e_1_2_11_25_1","doi-asserted-by":"crossref","unstructured":"ChityalaRN HoffmannKR BednarekDR RudinS Region of interest (ROI) computed tomography. 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