{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T03:30:46Z","timestamp":1790393446511,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T00:00:00Z","timestamp":1714953600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL127153"],"award-info":[{"award-number":["R01HL127153"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL148182"],"award-info":[{"award-number":["R01HL148182"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Irregular cardiac motion can render conventional segmented cine MRI nondiagnostic. Clustering has been proposed for cardiac motion binning and may be optimized for complex arrhythmias.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To develop an adaptive cluster optimization method for irregular cardiac motion, and to generate the corresponding time\u2010resolved cine images.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>Thirteen with atrial fibrillation, four with premature ventricular contractions, and one patient in sinus rhythm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>Free\u2010running balanced steady state free precession (bSSFP) with sorted golden\u2010step, reference real\u2010time sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Each subject underwent both the sorted golden\u2010step bSSFP and the reference Cartesian real\u2010time imaging. Golden\u2010step bSSFP images were reconstructed using the dynamic regularized adaptive cluster optimization (DRACO) method and k\u2010means clustering. Image quality (4\u2010point Likert scale), signal\u2010to\u2010noise ratio (SNR), contrast\u2010to\u2010noise ratio (CNR), edge sharpness, and ventricular function were assessed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Paired <jats:italic>t<\/jats:italic>\u2010tests, Friedman test, regression analysis, Fleiss' Kappa, Bland\u2013Altman analysis. Significance level <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The DRACO method had the highest percent of images with scores \u22653 (96% for diastolic frame, 93% for systolic frame, and 93% for multiphase cine) and the percentages were significantly higher compared with both the k\u2010means and real\u2010time methods. Image quality scores, SNR, and CNR were significantly different between DRACO vs. k\u2010means and between DRACO vs. real\u2010time. Cardiac function analysis showed no significant differences between DRACO vs. the reference real\u2010time.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>DRACO with time\u2010resolved reconstruction generated high quality images and has early promise for quantitative cine cardiac MRI in patients with complex arrhythmias including atrial fibrillation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>1.<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29425","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T12:20:21Z","timestamp":1714998021000},"page":"248-262","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dynamic Regularized Adaptive Cluster Optimization (<scp>DRACO<\/scp>) for Quantitative Cardiac Cine <scp>MRI<\/scp> in Complex Arrhythmias"],"prefix":"10.1002","volume":"61","author":[{"given":"Zhengyang","family":"Ming","sequence":"first","affiliation":[{"name":"Physics and Biology in Medicine Graduate Program University of California  Los Angeles California USA"},{"name":"Department of Radiological Sciences David Geffen School of Medicine at UCLA  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arutyun","family":"Pogosyan","sequence":"additional","affiliation":[{"name":"Division of Cardiology David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9334-8684","authenticated-orcid":false,"given":"Anthony G.","family":"Christodoulou","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences David Geffen School of Medicine at UCLA  Los Angeles California USA"},{"name":"Department of Bioengineering University of California  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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