Myocardial <i>T</i> <sub>1</sub> mapping at 5T using multi-inversion recovery real-time spoiled GRE
<i>Objective.</i>To develop an accurate myocardial<i>T</i><sub>1</sub>mapping technique at 5T using Look-Locker-based multiple inversion-recovery with the real-time spoiled gradient echo (GRE) acquisition.<i>Approach.</i>The proposed<i>T</i><sub>1</sub>mapping technique (mIR-rt) samples the recovery of inverted magnetization using the real-time GRE and the images captured during diastole are selected for<i>T</i><sub>1</sub>fitting. Multiple-inversion recoveries are employed to increase the sample size for accurate fitting. The<i>T</i><sub>1</sub>mapping method was validated using Bloch simulation, phantom studies, and in 16 healthy volunteers at 5T.<i>Main Results.</i>In both simulation and phantom studies, the<i>T</i><sub>1</sub>values measured by mIR-rt closely approximate the reference<i>T</i><sub>1</sub>values, with errors less than 3%, while the conventional MOLLI sequence underestimates<i>T</i><sub>1</sub>values. The myocardial<i>T</i><sub>1</sub>values at 5T are 1553 ± 52 ms, 1531 ± 53 ms, and 1526 ± 60 ms (mean ± standard deviation) at the apex, middle, and base, respectively. The<i>T</i><sub>1</sub>values measured by MOLLI (1350 ± 48 ms, 1349 ± 47 ms, and 1354 ± 45 ms at the apex, middle, and base) were significantly lower than those of mIR-rt with<i>p</i>< 0.001 for all three layers. The mIR-rt sequence method used in our study provides high reproducibility, particularly in the middle slices, supporting its practical relevance for myocardial<i>T</i><sub>1</sub>mapping.<i>Significance.</i>The proposed method is feasible for myocardial<i>T</i><sub>1</sub>mapping at 5T and provides better accuracy than the conventional MOLLI sequence.
Authors
- Yihang Zhou (ORCID: https://orcid.org/0000-0001-6354-1259)
- Haifeng Wang (ORCID: https://orcid.org/0000-0003-4229-3668)
- Huibin Zhu (ORCID: https://orcid.org/0000-0003-2427-3372)
- Lang Zhang
- Lees Ge
- Yanjie Zhu (ORCID: https://orcid.org/0000-0002-9131-689X)
- Yihang Zhang (ORCID: https://orcid.org/0009-0008-8194-9870)
- Hairong Zheng
- Dong Liang (ORCID: https://orcid.org/0000-0001-6257-0875)
Institutions
- Shenzhen University (CN)
- Inner Mongolia University (CN)
- University Town of Shenzhen (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Chongqing University of Technology (CN)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1088/1361-6560/add986
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China