{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:48:02Z","timestamp":1775022482046,"version":"3.50.1"},"reference-count":31,"publisher":"Association for Computing Machinery (ACM)","issue":"1s","license":[{"start":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T00:00:00Z","timestamp":1674432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62076044, 62176217"],"award-info":[{"award-number":["62076044, 62176217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Chongqing, China","award":["cstc2019jcyj-zdxm0011"],"award-info":[{"award-number":["cstc2019jcyj-zdxm0011"]}]},{"name":"Doctoral Research Innovation Project","award":["21E025"],"award-info":[{"award-number":["21E025"]}]},{"name":"Youth Science Foundation of Sichuan","award":["2022NSFSC0866"],"award-info":[{"award-number":["2022NSFSC0866"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2023,2,28]]},"abstract":"<jats:p>\n            Due to the existence of metallic implants in certain patients, the\n            <jats:bold>Computed Tomography (CT)<\/jats:bold>\n            images from these patients are often corrupted by undesirable metal artifacts, which causes severe problem of metal artifact. Although many methods have been proposed to reduce metal artifact, reduction is still challenging and inadequate. Some reduced results are suffering from symptom variance, second artifact, and poor subjective evaluation. To address these, we propose a novel method based on\n            <jats:bold>generative adversarial nets (GANs)<\/jats:bold>\n            to reduce metal artifacts. Specifically, we firstly encode interactive information (text) and imaging CT (image) to yield multi-modal feature-fusion representation, which overcomes representative ability limitation of single-modal CT images. The incorporation of interaction information constrains feature generation, which ensures symptom consistency between corrected and target CT. Then, we design an enhancement network to avoid second artifact and enhance edge as well as suppress noise. Besides, three radiology physicians are invited to evaluate the corrected CT image. Experiments show that our method gains significant improvement over other methods. Objectively, ours achieves an average increment of 7.44% PSNR and 6.12% SSIM on two medical image datasets. Subjectively, ours outperforms others in comparison in term of sharpness, resolution, invariance, and acceptability.\n          <\/jats:p>","DOI":"10.1145\/3528172","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T12:10:54Z","timestamp":1648728654000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["MFGAN: Multi-modal Feature-fusion for CT Metal Artifact Reduction Using GANs"],"prefix":"10.1145","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0671-8182","authenticated-orcid":false,"given":"Liming","family":"Xu","sequence":"first","affiliation":[{"name":"China West Normal University, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5892-2372","authenticated-orcid":false,"given":"Xianhua","family":"Zeng","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunication, Chongqing Shi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9033-8245","authenticated-orcid":false,"given":"Weisheng","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunication, Chongqing Shi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4495-8299","authenticated-orcid":false,"given":"Bochuan","family":"Zheng","sequence":"additional","affiliation":[{"name":"China West Normal University, Sichuan, China"}]}],"member":"320","published-online":{"date-parts":[[2023,1,23]]},"reference":[{"issue":"2","key":"e_1_3_2_2_2","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1148\/radiology.164.2.3602406","article-title":"Reduction of CT artifacts caused by metallic implants","volume":"164","author":"Kalender Willi A.","year":"1987","unstructured":"Willi A. 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