{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T22:30:10Z","timestamp":1792708210168,"version":"4.5.0"},"reference-count":38,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2017,5,7]],"date-time":"2017-05-07T00:00:00Z","timestamp":1494115200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["16SDG29630013"],"award-info":[{"award-number":["16SDG29630013"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB014922"],"award-info":[{"award-number":["R01EB014922"]}],"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":["UH2NS100614"],"award-info":[{"award-number":["UH2NS100614"]}],"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":["R01HL127153"],"award-info":[{"award-number":["R01HL127153"]}],"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 in Med"],"published-print":{"date-parts":[[2018,2]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate the feasibility and performance of compressed sensing (CS) with magnitude subtraction regularization in accelerating non\u2013contrast\u2010enhanced dynamic intracranial MR angiography (NCE\u2010dMRA).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A CS algorithm was introduced in NCE\u2010dMRA by exploiting the sparsity of the magnitude difference of the control and label images. The NCE\u2010dMRA data were acquired using golden\u2010angle stack\u2010of\u2010stars trajectory on six healthy volunteers and one patient with arteriovenous fistula. Images were reconstructed using (i) the proposed magnitude\u2010subtraction CS (MS\u2010CS); (ii) complex\u2010subtraction CS; (iii) independent CS; and (iv) view\u2010sharing with k\u2010space weighted image contrast (KWIC). The dMRA image quality was compared across the four reconstruction strategies. The proposed MS\u2010CS method was further compared with KWIC for temporal fidelity of depicting dynamic flow.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proposed MS\u2010CS method was able to reconstruct NCE\u2010dMRA images with detailed vascular structures and clean background. It provided better subjective image quality than the other two CS strategies (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05). Compared with KWIC, MS\u2010CS showed similar image quality, but reduced temporal blurring in delineating the fine distal arteries.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The MS\u2010CS method is a promising CS technique for accelerating NCE\u2010dMRA acquisition without compromising image quality and temporal fidelity. Magn Reson Med 79:867\u2013878, 2018. \u00a9 2017 International Society for Magnetic Resonance in Medicine.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.26747","type":"journal-article","created":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T04:17:10Z","timestamp":1494217030000},"page":"867-878","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Accelerated noncontrast\u2010enhanced 4\u2010dimensional intracranial MR angiography using golden\u2010angle stack\u2010of\u2010stars trajectory and compressed sensing with magnitude subtraction"],"prefix":"10.1002","volume":"79","author":[{"given":"Ziwu","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Radiological Sciences David Geffen School of Medicine, University of California Los Angeles California USA"},{"name":"Department of Bioengineering University of California Los Angeles California 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