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. 2025 Mar;61(3):1388-1401.
doi: 10.1002/jmri.29564. Epub 2024 Aug 14.

High Spatial-Resolution and Acquisition-Efficiency Cardiac MR T1 Mapping Based on Radial bSSFP and a Low-Rank Tensor Constraint

Juan Gao  1 , Yiwen Gong  2 , Yixin Emu  1 , Zhuo Chen  1 , Haiyang Chen  1 , Fan Yang  1 , Zekang Ding  1 , Sha Hua  2 , Wei Jin  2 , Chenxi Hu  1
Affiliations

High Spatial-Resolution and Acquisition-Efficiency Cardiac MR T1 Mapping Based on Radial bSSFP and a Low-Rank Tensor Constraint

Juan Gao et al. J Magn Reson Imaging. 2025 Mar.

Abstract

Background: Cardiac T1 mapping is valuable for evaluating myocardial fibrosis, yet its resolution and acquisition efficiency are limited, potentially obscuring visualization of small pathologies.

Purpose: To develop a technique for high-resolution cardiac T1 mapping with a less-than-100-millisecond acquisition window based on radial MOdified Look-Locker Inversion recovery (MOLLI) and a calibrationless space-contrast-coil locally low-rank tensor (SCC-LLRT) constrained reconstruction.

Study type: Prospective.

Subjects/phantom: Sixteen healthy subjects (age 25 ± 3 years, 44% females) and 12 patients with suspected cardiomyopathy (age 57 ± 15 years, 42% females), NiCl2-agar phantom.

Field strength/sequence: 3-T, standard MOLLI, radial MOLLI, inversion-recovery spin-echo, late gadolinium enhancement.

Assessment: SCC-LLRT was compared to a conventional locally low-rank (LLR) method through simulations using Normalized Root-Mean-Square Error (NRMSE) and Structural Similarity Index Measure (SSIM). Radial MOLLI was compared to standard MOLLI across phantom, healthy subjects, and patients. Three independent readers subjectively evaluated the quality of T1 maps using a 5-point scale (5 = best).

Statistical tests: Paired t-test, Wilcoxon signed-rank test, intraclass correlation coefficient analysis, linear regression, Bland-Altman analysis. P < 0.05 was considered statistically significant.

Results: In simulations, SCC-LLRT demonstrated a significant improvement in NRMSE and SSIM compared to LLR. In phantom, both radial MOLLI and standard MOLLI provided consistent T1 estimates across different heart rates. In healthy subjects, radial MOLLI exhibited a significantly lower mean T1 (1115 ± 39 msec vs. 1155 ± 36 msec), similar T1 SD (74 ± 14 msec vs. 67 ± 23 msec, P = 0.20), and similar T1 reproducibility (28 ± 18 msec vs. 22 ± 15 msec, P = 0.34) compared to standard MOLLI. In patients, the proposed method significantly improved the sharpness of myocardial boundaries (4.50 ± 0.65 vs. 3.25 ± 0.43), the conspicuity of papillary muscles and fine structures (4.33 ± 0.74 vs. 3.33 ± 0.47), and artifacts (4.75 ± 0.43 vs. 3.83 ± 0.55). The reconstruction time for a single slice was 5.2 hours.

Data conclusion: The proposed method enables high-resolution cardiac T1 mapping with a short acquisition window and improved image quality.

Evidence level: 1 TECHNICAL EFFICACY: Stage 1.

Keywords: acceleration; cardiac T1 mapping; high resolution; low‐rank; radial; tensor.

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References

    1. Becker KM, Blaszczyk E, Funk S, et al. Fast myocardial T‐1 mapping using cardiac motion correction. Magn Reson Med 2020;83:438‐451.
    1. Hu CX, Peters DC. SUPER: A blockwise curve‐fitting method for accelerating MR parametric mapping with fast reconstruction. Magn Reson Med 2019;81:3515‐3529.
    1. Zhu Y, Kang J, Duan C, et al. Integrated motion correction and dictionary learning for free‐breathing myocardial T1 mapping. Magn Reson Med 2018;81:2644‐2654.
    1. Becker KM, Schulz‐Menger J, Schaeffter T, Kolbitsch C. Simultaneous high‐resolution cardiac T(1) mapping and cine imaging using model‐based iterative image reconstruction. Magn Reson Med 2019;81:1080‐1091.
    1. Kellman P, Wilson JR, Xue H, Ugander M, Arai AE. Extracellular volume fraction mapping in the myocardium, part 1: Evaluation of an automated method. J Cardiovasc Magn Reson 2012;14:14.