Free‐breathing, non‐ECG, simultaneous myocardial T1, T2, T2, and fat‐fraction mapping with motion‐resolved cardiovascular MR multitasking

Purpose To develop a free‐breathing, non‐electrocardiogram technique for simultaneous myocardial T1, T2, T2*, and fat‐fraction (FF) mapping in a single scan. Methods The MR Multitasking framework is adapted to quantify T1, T2, T2*, and FF simultaneously. A variable TR scheme is developed to preserve...

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Published in:Magnetic resonance in medicine Vol. 88; no. 4; pp. 1748 - 1763
Main Authors: Cao, Tianle, Wang, Nan, Kwan, Alan C., Lee, Hsu‐Lei, Mao, Xianglun, Xie, Yibin, Nguyen, Kim‐Lien, Colbert, Caroline M., Han, Fei, Han, Pei, Han, Hui, Christodoulou, Anthony G., Li, Debiao
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc 01-10-2022
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Summary:Purpose To develop a free‐breathing, non‐electrocardiogram technique for simultaneous myocardial T1, T2, T2*, and fat‐fraction (FF) mapping in a single scan. Methods The MR Multitasking framework is adapted to quantify T1, T2, T2*, and FF simultaneously. A variable TR scheme is developed to preserve temporal resolution and imaging efficiency. The underlying high‐dimensional image is modeled as a low‐rank tensor, which allows accelerated acquisition and efficient reconstruction. The accuracy and/or repeatability of the technique were evaluated on static and motion phantoms, 12 healthy volunteers, and 3 patients by comparing to the reference techniques. Results In static and motion phantoms, T1/T2/T2*/FF measurements showed substantial consistency (R > 0.98) and excellent agreement (intraclass correlation coefficient > 0.93) with reference measurements. In human subjects, the proposed technique yielded repeatable T1, T2, T2*, and FF measurements that agreed with those from references. Conclusions The proposed free‐breathing, non‐electrocardiogram, motion‐resolved Multitasking technique allows simultaneous quantification of myocardial T1, T2, T2*, and FF in a single 2.5‐min scan.
Bibliography:Funding information
National Institute of Health, Grant/Award Numbers: R01EB028146; R01HL148182; R01HL156818; VA‐MERIT, Grant/Award Number: I01CX001901
Anthony G. Christodoulou and Debiao Li contributed equally to this work.
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ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.29351