Motion-robust magnetic resonance fingerprinting (MR-MRF) for quantitative liver cancer imaging
<i>Objective.</i>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.<i>Approach.</i>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<i>t</i>-test is used for statistical significance analysis with a<i>p</i>-value threshold of 0.05.<i>Main results.</i>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,<i>p</i>-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 (<i>R</i><sup>2</sup>= 0.96, 0.80, and 0.85 for T1, T2, and PD, respectively).<i>Significance.</i>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.
Authors
- Xinzhi Teng (ORCID: https://orcid.org/0000-0001-7515-8302)
- Haonan Xiao (ORCID: https://orcid.org/0000-0003-2366-2325)
- Shaohua Zhi (ORCID: https://orcid.org/0000-0003-3151-9713)
- Huiqin ZHANG
- Chenyang Liu (ORCID: https://orcid.org/0000-0002-3362-7534)
- Victor Lee (ORCID: https://orcid.org/0000-0002-6283-978X)
- Yat-Lam Wong
- Jiang Zhang
- Peng Cao
- Wen Li
- Jing Cai
- Mandi Wang
- Lu Wang
- Tian Li
Institutions
- Hong Kong Polytechnic University (HK)
- Lingnan University (HK)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Queen Mary Hospital (CN)
- Peking Union Medical College Hospital (CN)
- Shandong Tumor Hospital (CN)
- ShenZhen People’s Hospital (CN)
- Shandong First Medical University (CN)
- University of Hong Kong (HK)
- Northeastern University (CN)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1088/1361-6560/ae3b03
- Citations
- 1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 31.92
Funders
- National Natural Science Foundation of China
- Innovation and Technology Commission
- Health and Medical Research Fund