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.

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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

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article

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

Xinzhi Teng, Haonan Xiao, Shaohua Zhi, Huiqin ZHANG et al.
1 citations
Physics in Medicine and Biology
MRI in cancer diagnosis
31.92
article

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

Xinzhi Teng, Haonan Xiao, Shaohua Zhi, Huiqin ZHANG, Chenyang Liu, Victor Lee, Yat-Lam Wong, Jiang Zhang, Peng Cao, Wen Li, Jing Cai, Mandi Wang, Lu Wang, Tian Li
article en
1 citations

Abstract

<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.

Physics in Medicine and BiologyVol. 71(3)
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)
National Natural Science Foundation of China, Innovation and Technology Commission, Health and Medical Research Fund
Good health and well-being
Openalex Percentile: Top 2%
MRI in cancer diagnosis
31.92
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