Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118071
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dc.contributorDepartment of Health Technology and Informatics-
dc.contributorResearch Institute for Smart Ageing-
dc.creatorLiu, Cen_US
dc.creatorLi, Ten_US
dc.creatorWang, Len_US
dc.creatorWong, YLen_US
dc.creatorWang, Men_US
dc.creatorZhang, Hen_US
dc.creatorWang, Zen_US
dc.creatorXiao, Hen_US
dc.creatorZhi, Sen_US
dc.creatorLi, Wen_US
dc.creatorZhang, Jen_US
dc.creatorTeng, Xen_US
dc.creatorLee, VHFen_US
dc.creatorCao, Pen_US
dc.creatorCai, Jen_US
dc.date.accessioned2026-03-12T01:03:40Z-
dc.date.available2026-03-12T01:03:40Z-
dc.identifier.issn0031-9155en_US
dc.identifier.urihttp://hdl.handle.net/10397/118071-
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishing Ltd.en_US
dc.rights© 2026 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltden_US
dc.rightsOriginal content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en_US
dc.rightsThe following publication Liu, C., Li, T., Wang, L., Wong, Y.-L., Wang, M., Zhang, H., Wang, Z., Xiao, H., Zhi, S., Li, W., Zhang, J., Teng, X., Lee, V. H.-f., Cao, P., & Cai, J. (2026). Motion-robust magnetic resonance fingerprinting (MR-MRF) for quantitative liver cancer imaging. Physics in Medicine & Biology, 71(3), 035015 is available at https://doi.org/10.1088/1361-6560/ae3b03.en_US
dc.subjectLiver canceren_US
dc.subjectMagnetic resonance fingerprintingen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectMotion robusten_US
dc.subjectRespiratory motion blurringen_US
dc.titleMotion-robust magnetic resonance fingerprinting (mr-mrf) for quantitative liver cancer imagingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume71en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1088/1361-6560/ae3b03en_US
dcterms.abstractObjective. This study aims to develop a motion-robust magnetic resonance fingerprinting (MR-MRF) technique for liver cancer imaging to eliminate the need for breath-hold scanning.-
dcterms.abstractApproach. To mitigate respiratory motion artifacts in free-breathing abdominal MRF, the MR-MRF technique comprising two core components. First, respiratory motion is modeled by applying an isotropic total variation (TV)-regularized registration algorithm between a target end-of-exhalation (EOE) phase and three motion phases. Second, motion-resolved tissue property maps are reconstructed using a low-rank TV optimization framework, which incorporates the estimated inter-phase motion to align all acquired MRF dynamics to the EOE phase. MR-MRF is evaluated by 22 patients (mean age, 62 years ± 10 [SD]; 15 males and 7 females) with hepatocellular carcinoma. Radiologist’s blinded assessment and organ boundary sharpness measurements are performed to evaluate the image quality of MR-MRF-derived tissue maps. The test-retest tissue quantification repeatability is assessed by two consecutive MRF scans with distinct breathing patterns. Paired Student’s t-test is used for statistical significance analysis with a p-value threshold of 0.05.-
dcterms.abstractMain results. MR-MRF achieved successful reconstruction of motion-resolved tissue maps at EOE phase, with blinded radiologist assessment yielding an average score of 3 (moderate quality—sufficient for diagnosis) for overall image impression. The FWHM of organ boundaries in MR-MRF-derived tissue maps is 3.1 mm ± 1.7 mm, significantly lower than motion-blurred tissue maps (9.9 mm ± 3.4 mm, p-value < 0.0001). Test-retest analysis demonstrated good repeatability: liver coefficient of variation was 5.5% ± 7.1% (T1), 8.2% ± 4.4% (T2), and 5.0% ± 2.0% (PD), with excellent linear agreement (R2 = 0.96, 0.80, and 0.85 for T1, T2, and PD, respectively).-
dcterms.abstractSignificance. This study establishes the technical foundation of MR-MRF to achieve repeatable and quantitative liver T1/T2/PD mapping under free-breathing conditions at 3 T. The results validate the feasibility of addressing respiratory motion in abdominal multi-parametric quantitative MRI.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysics in medicine and biology, 14 Feb. 2026, v. 71, no. 3, 035015en_US
dcterms.isPartOfPhysics in medicine and biologyen_US
dcterms.issued2026-02-14-
dc.identifier.scopus2-s2.0-105029797306-
dc.identifier.pmid41558177-
dc.identifier.eissn1361-6560en_US
dc.identifier.artn035015en_US
dc.description.validate202603 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was partly supported by National Natural Science Foundation of China (NSFC) Young Scientist Fund (82202941), General Research Funds of University Grants Committee in Hong Kong SAR (GRF 15104323, GRF 15102219, GRF 15104822), Health and Medical Research Fund in Hong Kong (HMRF 10211606, HMRF 12231546), Early Career Scheme of University Grants Committee in Hong Kong SAR (ECS 25100525) and the Innovation and Technology Support Programme of Innovation and Technology Commission in Hong Kong SAR (ITS/049/22FP).en_US
dc.description.pubStatusPublisheden_US
dc.description.TAIOP (2026)en_US
dc.description.oaCategoryTAen_US
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