{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T22:41:19Z","timestamp":1780353679502,"version":"3.54.1"},"reference-count":20,"publisher":"IOP Publishing","issue":"7","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"National Cancer Institute","award":["R01CA188446"],"award-info":[{"award-number":["R01CA188446"]}]},{"DOI":"10.13039\/100007210","name":"Varian Medical Systems","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100007210","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":[[2024,4,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . To demonstrate that complete cone beam CT (CBCT) scans from both MV-energy and kV-energy LINAC sources can reduce metal artifacts in radiotherapy guidance, while maintaining standard-of-care x-ray doses levels.\n                    <jats:italic>Approach<\/jats:italic>\n                    . MV-CBCT and kV-CBCT scans are acquired at half normal dose. The impact of lowered dose on MV-CBCT data quality is mitigated by the use of a 4-layer MV-imager prototype and reduced LINAC energy settings (2.5 MV) to improve photon capture. Additionally, the MV-CBCT is used to determine the 3D position and pose of metal implants, which in turn is used to guide model-based poly-energetic correction and interleaving of the kV-CBCT and MV-CBCT data. Certain edge-preserving regularization steps incorporated into the model-based correction algorithm further reduce MV data noise.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The method was tested in digital phantoms and a real pelvis phantom with large 2.5\u2033 spherical inserts, emulating hip replacements of different materials. The proposed method demonstrated an appealing compromise between the high contrast of kV-CBCT and low artifact content of MV-CBCT. Contrast-to-noise improved 3-fold compared to MV-CBCT with a clinical 1-layer architecture at matched dose (37 mGy) and edge blur levels. Visual delineation of the bladder and prostate improved noteably over kV- or MV-CBCT alone.\n                    <jats:italic>Significance<\/jats:italic>\n                    . The proposed method demonstrates that a full MV-CBCT scan can be combined with kV-CBCT to reduce metal artifacts without resorting to complicated beam collimation strategies to limit the MV-CBCT dose contribution. Additionally, significant improvements in CNR can be achieved as compared to metal artifact reduction through current clinical MV-CBCT practices.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ad1cfb","type":"journal-article","created":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T17:23:55Z","timestamp":1704907435000},"page":"075009","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A kV\u2013MV approach to CBCT metal artifact reduction using multi-layer MV-CBCT"],"prefix":"10.1088","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7616-945X","authenticated-orcid":true,"given":"Matthew W","family":"Jacobson","sequence":"first","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5594-5728","authenticated-orcid":true,"given":"Tom","family":"Harris","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marios","family":"Myronakis","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathias","family":"Lehmann","sequence":"additional","affiliation":[{"name":"Varian Medical Systems, Baden-Dattwil, CH-5405,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascal","family":"Huber","sequence":"additional","affiliation":[{"name":"Varian Medical Systems, Baden-Dattwil, CH-5405,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ikechi","family":"Ozoemelam","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue-Houng","family":"Hu","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dianne","family":"Ferguson","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rony","family":"Fueglistaller","sequence":"additional","affiliation":[{"name":"Varian Medical Systems, Baden-Dattwil, CH-5405,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Morf","sequence":"additional","affiliation":[{"name":"Varian Medical Systems, Baden-Dattwil, CH-5405,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ross","family":"Berbeco","sequence":"additional","affiliation":[{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"pmbad1cfbbib1","doi-asserted-by":"publisher","first-page":"5777","DOI":"10.1118\/1.3013571","type":"journal-article","article-title":"Low dose megavoltage cone beam computed tomography with an unflattened 4 MV beam from a carbon target","volume":"35","author":"Faddegon","year":"2008","journal-title":"Med. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2023-06-17","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-01-10","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-03-14","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}