{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:20:35Z","timestamp":1782843635480,"version":"3.54.5"},"reference-count":68,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T00:00:00Z","timestamp":1757289600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006775","name":"GE Healthcare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006775","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000801","name":"Bayer HealthCare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000801","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":[[2026,1]]},"abstract":"Abstract<\/jats:title>\n \n Purpose<\/jats:title>\n \n Gadoxetic acid\u2010enhanced hepatobiliary phase T\n 1<\/jats:sub>\n \u2010weighted (T\n 1<\/jats:sub>\n w) MRI is effective for the detection of focal liver lesions but lacks sufficient T\n 1<\/jats:sub>\n contrast to distinguish benign from malignant lesions. Although the addition of T\n 2<\/jats:sub>\n , diffusion, and dynamic contrast\u2010enhanced T\n 1<\/jats:sub>\n w imaging improves lesion characterization, these methods often do not provide adequate spatial resolution to identify subcentimeter lesions. This work proposes a high\u2010resolution, volumetric, free\u2010breathing liver MRI method that produces colocalized fat\u2010suppressed, variable T\n 1<\/jats:sub>\n w images from a single acquisition, thereby improving both lesion detection and characterization.\n <\/jats:p>\n <\/jats:sec>\n \n Theory and Methods<\/jats:title>\n \n This method combines stack\u2010of\u2010stars radial sampling, magnetization preparation, and chemical shift encoding to enable free\u2010breathing, T\n 1<\/jats:sub>\n w imaging with water\/fat separation. A model\u2010based image reconstruction algorithm reconstructs images from highly undersampled k\u2010space data. Pseudo\u2010T\n 1<\/jats:sub>\n relaxation maps are calculated from the variable T\n 1<\/jats:sub>\n w images. The feasibility of this method was investigated in patients undergoing clinical contrast\u2010enhanced MRI examinations for detection and characterization of focal liver lesions at both 1.5 and 3.0\u2009T. An expert reader study was conducted to evaluate the method's performance, compared with the hepatobiliary phase\u2010navigated T\n 1<\/jats:sub>\n w MRI based on image quality and lesion conspicuity.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Expert readers found that at shorter inversion times (TIs) (\u02dc500\u2009ms), the proposed method had superior liver\u2013lesion contrast for characterizing simple cysts and metastases, compared with navigated T\n 1<\/jats:sub>\n w images.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n The proposed method produces colocalized fat\u2010suppressed, variable T\n 1<\/jats:sub>\n w images from a single acquisition that may improve focal liver lesion detection and characterization.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/mrm.70042","type":"journal-article","created":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T05:14:52Z","timestamp":1757394892000},"page":"314-331","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Free\u2010breathing phase\u2010sensitive inversion recovery\n \n T\n 1<\/sub>\n <\/scp>\n \u2010weighted imaging for improved visualization of focal liver lesions"],"prefix":"10.1002","volume":"95","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2369-3378","authenticated-orcid":false,"given":"Yavuz","family":"Muslu","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering University of Wisconsin\u2010Madison Madison Wisconsin USA"},{"name":"Department of Radiology University of Wisconsin\u2010Madison Madison Wisconsin 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