{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T13:36:50Z","timestamp":1781530610073,"version":"3.54.1"},"reference-count":49,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T00:00:00Z","timestamp":1713744000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100015696","name":"Siemens Medical Solutions USA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To improve image quality, mitigate quantification biases and variations for free\u2010breathing liver proton density fat fraction (PDFF) and  quantification accelerated by radial k\u2010space undersampling.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A free\u2010breathing multi\u2010echo stack\u2010of\u2010radial MRI method was developed with compressed sensing with multidimensional regularization. It was validated in motion phantoms with reference acquisitions without motion and in 11 subjects (6 patients with nonalcoholic fatty liver disease) with reference breath\u2010hold Cartesian acquisitions. Images, PDFF, and  maps were reconstructed using different radial view k\u2010space sampling factors and reconstruction settings. Results were compared with reference\u2010standard results using Bland\u2013Altman analysis. Using linear mixed\u2010effects model fitting (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05 considered significant), mean and SD were evaluated for biases and variations of PDFF and , respectively, and coefficient of variation on the first echo image was evaluated as a surrogate for image quality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Using the empirically determined optimal sampling factor of 0.25 in the accelerated in vivo protocols, mean differences and limits of agreement for the proposed method were [\u22120.5; \u221233.6, 32.7] s<jats:sup>\u22121<\/jats:sup> for  and [\u22121.0%; \u22125.8%, 3.8%] for PDFF, close to those of a previous self\u2010gating method using fully sampled radial views: [\u22120.1; \u221227.1, 27.0] s<jats:sup>\u22121<\/jats:sup> for  and [\u22120.4%; \u22124.5%, 3.7%] for PDFF. The proposed method had significantly lower coefficient of variation than other methods (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). Effective acquisition time of 64 s or 59\u2009s was achieved, compared with 171 s or 153\u2009s for two baseline protocols with different radial views corresponding to sampling factor of 1.0.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This proposed method may allow accelerated free\u2010breathing liver PDFF and  mapping with reduced biases and variations.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.30117","type":"journal-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T06:34:30Z","timestamp":1713854070000},"page":"1149-1161","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Accelerated free\u2010breathing liver fat and R2* quantification using multi\u2010echo stack\u2010of\u2010radial MRI with motion\u2010resolved multidimensional regularized reconstruction: Initial retrospective evaluation"],"prefix":"10.1002","volume":"92","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8355-5279","authenticated-orcid":false,"given":"Xiaodong","family":"Zhong","sequence":"first","affiliation":[{"name":"Department of Radiological Sciences David Geffen School of Medicine, University of California Los Angeles  Los Angeles California USA"},{"name":"Physics and Biology in Medicine Interdepartmental Program, David Geffen School of Medicine, University of California Los Angeles  Los Angeles California USA"},{"name":"Department of Bioengineering Samueli School of Engineering, University of California Los Angeles  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel D.","family":"Nickel","sequence":"additional","affiliation":[{"name":"MR Application Predevelopment, Siemens Healthineers AG  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephan A. 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