{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T17:45:06Z","timestamp":1775324706608,"version":"3.50.1"},"reference-count":65,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T00:00:00Z","timestamp":1705449600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T00:00:00Z","timestamp":1705449600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"the Interdisciplinary Medical Engineering Cultivation Project","award":["UY202206"],"award-info":[{"award-number":["UY202206"]}]},{"name":"the Young Talent Program of Universities and Colleges in Hebei Province","award":["BJ2021044"],"award-info":[{"award-number":["BJ2021044"]}]},{"name":"the Hebei Natural Science Foundation","award":["F2023203043"],"award-info":[{"award-number":["F2023203043"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62371414"],"award-info":[{"award-number":["62371414"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Postgraduate Innovation Fund Project of Hebei Province","award":["CXZZSS2023049"],"award-info":[{"award-number":["CXZZSS2023049"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Mach. Learn.: Sci. Technol."],"published-print":{"date-parts":[[2024,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Sparse-view computed tomography (SVCT) is regarded as a promising technique to accelerate data acquisition and reduce radiation dose. However, in the presence of metallic implants, SVCT inevitably makes the reconstructed CT images suffer from severe metal artifacts and streaking artifacts due to the lack of sufficient projection data. Previous stand-alone SVCT and metal artifact reduction (MAR) methods to solve the problem of simultaneously sparse-view and metal artifact reduction (SVMAR) are plagued by insufficient correction accuracy. To overcome this limitation, we propose a multi-domain deep unrolling network, called Mud-Net, for SVMAR. Specifically, we establish a joint sinogram, image, artifact, and coding domains deep unrolling reconstruction model to recover high-quality CT images from the under-sampled sinograms corrupted by metallic implants. To train this multi-domain network effectively, we embed multi-domain knowledge into the network training process. Comprehensive experiments demonstrate that our method is superior to both existing MAR methods in the full-view MAR task and previous SVCT methods in the SVMAR task.<\/jats:p>","DOI":"10.1088\/2632-2153\/ad1b8e","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T22:31:31Z","timestamp":1704493891000},"page":"015010","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography"],"prefix":"10.1088","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4643-3816","authenticated-orcid":true,"given":"Baoshun","family":"Shi","sequence":"first","affiliation":[]},{"given":"Ke","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Shaolei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Qiusheng","family":"Lian","sequence":"additional","affiliation":[]},{"given":"Yanwei","family":"Qin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3059-5258","authenticated-orcid":true,"given":"Yunsong","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"mlstad1b8ebib1","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1016\/j.neucom.2021.12.096","article-title":"Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain","volume":"493","author":"Chao","year":"2022","journal-title":"Neurocomputing"},{"key":"mlstad1b8ebib2","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.meddos.2011.01.007","article-title":"The effect of metallic implants on radiation therapy in spinal tumor patients with metallic spinal implants","volume":"37","author":"Son","year":"2012","journal-title":"Med. 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Published by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2023-07-11","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-01-05","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-01-17","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}