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Motion-robust magnetic resonance fingerprinting (MR-MRF) for quantitative liver cancer imaging

  • Chenyang LIU
  • , Tian LI
  • , Lu WANG
  • , Yat-Lam WONG
  • , Mandi WANG
  • , Huiqin ZHANG
  • , Zuojun WANG
  • , Haonan XIAO
  • , Shaohua ZHI
  • , Wen LI
  • , Jiang ZHANG
  • , Xinzhi TENG
  • , Victor Ho-Fun LEE
  • , Peng CAO
  • , Jing CAI*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Objective. 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. Approach. 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. Main 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 (R 2 = 0.96, 0.80, and 0.85 for T1, T2, and PD, respectively). Significance. 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.

Original languageEnglish
Article number035015
Number of pages12
JournalPhysics in Medicine and Biology
Volume71
Issue number3
Early online date10 Feb 2026
DOIs
Publication statusPublished - 14 Feb 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd. Original content from this work may be used under the terms of the 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.

Funding

This research was partly supported by National Natural Science Foundation of China (NSFC) Young Scientist Fund (82202941), General Research Funds (GRF 15104323, GRF 15102219, GRF 15104822), Health and Medical Research Fund (HMRF 10211606), and the Innovation and Technology Support Programme (ITS/049/22FP).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • liver cancer
  • magnetic resonance fingerprinting
  • magnetic resonance imaging
  • motion robust
  • respiratory motion blurring

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