{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T15:57:15Z","timestamp":1778342235738,"version":"3.51.4"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation of Sri Lanka","doi-asserted-by":"publisher","award":["1828736"],"award-info":[{"award-number":["1828736"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>Breath\u2010held fat\u2010suppressed volumetric T1\u2010weighted MRI is an important and widely\u2010used technique for evaluating the abdomen. Both fat\u2010saturation and Dixon\u2010based fat\u2010suppression methods are used at conventional field strengths; however, both have challenges at lower field strengths (&lt;1.5T) due to insufficient fat suppression and\/or inadequate resolution. Specifically, at lower field strengths, fat saturation often fails due to the short T1 of lipid; and Cartesian Dixon imaging provides poor spatial resolution due to the need for a long \u2206TE, due to the smaller \u2206f between water and lipid. The purpose of this work is to demonstrate a new approach capable of simultaneously achieving excellent fat suppression and high spatial resolution on a 0.55T whole\u2010body system.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We applied 3D stack\u2010of\u2010spirals Dixon imaging at 0.55T, with compensation of concomitant field phase during reconstruction. The spiral readouts make efficient use of the requisite \u2206TE. We compared this with 3D Cartesian Dixon imaging. Experiments were performed in 2 healthy and 10 elevated liver fat volunteers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Stack\u2010of\u2010spirals Dixon imaging at 0.55T makes excellent use of the required \u2206TE, provided high SNR efficiency and finer spatial resolution (1.7\u2009\u00d7\u20091.7\u2009\u00d7\u20095\u2009mm<jats:sup>3<\/jats:sup>) compared Cartesian Dixon (3.5\u2009\u00d7\u20093.5\u2009\u00d7\u20095\u2009mm<jats:sup>3<\/jats:sup>), within a 17\u2010s breath\u2010hold. We observed successful fat suppression, and improved definition of structures such as the liver, kidneys, and bowel.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>We demonstrate that high\u2010resolution single breath\u2010hold volumetric abdominal T1\u2010weighted imaging is feasible at 0.55T using spiral sampling and concomitant field correction. This is an attractive alternative to existing Cartesian\u2010based methods, as it simultaneously provides high\u2010resolution and excellent fat\u2010suppression.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.30224","type":"journal-article","created":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T03:44:05Z","timestamp":1720842245000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Improved abdominal <scp>T1<\/scp> weighted imaging at 0.<scp>55T<\/scp>"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6462-3651","authenticated-orcid":false,"given":"Bilal","family":"Tasdelen","sequence":"first","affiliation":[{"name":"Ming Hsieh Department of Electrical and Computer Engineering University of Southern California  Los Angeles California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5462-1492","authenticated-orcid":false,"given":"Nam G.","family":"Lee","sequence":"additional","affiliation":[{"name":"Ming Hsieh Department of Electrical and Computer Engineering University of Southern California  Los Angeles California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5133-4903","authenticated-orcid":false,"given":"Sophia X.","family":"Cui","sequence":"additional","affiliation":[{"name":"Siemens Medical Solutions USA  Los Angeles California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5735-3550","authenticated-orcid":false,"given":"Krishna S.","family":"Nayak","sequence":"additional","affiliation":[{"name":"Ming Hsieh Department of Electrical and Computer Engineering University of Southern California  Los Angeles California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.212.3.r99se34876"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2010.11.015"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.3906\/sag\u20101909\u201083"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v21.i16.5017"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019190452"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1259\/0007\u20101285\u201065\u2010770\u2010132"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000810"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.28408"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2024.01.018"},{"key":"e_1_2_9_11_1","volume-title":"Proceedings of the International Society for Magnetic Resonance in Medicine","author":"Mugler JP","year":"2015"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031\u20109155\/30\/4\/008"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20401"},{"key":"e_1_2_9_14_1","unstructured":"BlumenthalM HolmeC RoeloffsV et al.BART Toolbox for Computational Magnetic Resonance Imaging. 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