{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T16:57:31Z","timestamp":1762361851032,"version":"build-2065373602"},"reference-count":33,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T00:00:00Z","timestamp":1707091200000},"content-version":"vor","delay-in-days":35,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071181"],"award-info":[{"award-number":["62071181"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Signal Processing"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p>\n                    Motion artifacts are a major challenge in the\n                    <jats:italic>in vivo<\/jats:italic>\n                    application of catheter\u2010based cardiac imaging modalities. Gating is a critical tool for suppressing motion artifacts. Electrocardiogram (ECG) gating requires a trigger device or synchronous ECG recordings for retrospective analysis. Existing retrospective software gating methods extract gating signals through separate steps based on changes in vessel morphology or image features, which require a high computational cost and are prone to error accumulation. In this paper, we report on an end\u2010to\u2010end unsupervised learning framework for retrospective image\u2010based gating (IBG) of catheter\u2010based intracoronary images, named IBG Network. It establishes a direct mapping from a continuously acquired image sequence to a gated subsequence. The network was trained on clinical data sets in an unsupervised manner, addressing the difficulty of obtaining the gold standard in deep learning\u2010based motion suppression techniques. Experimental results of\n                    <jats:italic>in vivo<\/jats:italic>\n                    intravascular ultrasound and optical coherence tomography sequences show that the proposed method has better performance in terms of motion artifact suppression and processing efficiency compared with the state\u2010of\u2010the\u2010art nonlearning signal\u2010based and IBG methods.\n                  <\/jats:p>","DOI":"10.1049\/2024\/5664618","type":"journal-article","created":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T15:50:07Z","timestamp":1707148207000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter\u2010Based Cardiac Imaging"],"prefix":"10.1049","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7066-2320","authenticated-orcid":false,"given":"Zheng","family":"Sun","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3793-3404","authenticated-orcid":false,"given":"Yue","family":"Yao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8409-8337","authenticated-orcid":false,"given":"Ru","family":"Wang","sequence":"additional","affiliation":[]}],"member":"265","published-online":{"date-parts":[[2024,2,5]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2021.10.016"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2021.824128"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0002-8703(99)70011-6"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85990-1_62"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2008.06.012"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2017927"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2581583"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2020.00033"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1157\/13092792"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2022.02.005"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1364\/OPEX.12.002977"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0304(199803)43:3<254::AID-CCD3>3.0.CO;2-8"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27021"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10554-020-01796-7"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.016003"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.440975"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2004.08.025"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.4244\/EIJV6I9A191"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/ccd.10693"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2008.921014"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2011.1774"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15745-5_8"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.3233\/BME-151336"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2914074"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04271-3_47"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2449232"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2011.11.008"},{"key":"e_1_2_9_28_2","first-page":"492","article-title":"Key frames extraction and application in intravascular ultrasound pullback sequences based on manifold learning","volume":"35","author":"Mao H.-Q.","year":"2015","journal-title":"Journal of Southern Medical University"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1259\/bjro.20220021"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10554-021-02162-x"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2023.1250800"},{"key":"e_1_2_9_32_2","unstructured":"KingmaD. 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