1. Fast, precise, and accurate myocardial T1 mapping using a radial MOLLI sequence with FLASH readout
- Author
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B. Coppa, Benjamin Marty, and Pierre G. Carlier
- Subjects
Myocardial tissue ,medicine.diagnostic_test ,Computer science ,business.industry ,Healthy subjects ,Magnetic resonance imaging ,030204 cardiovascular system & hematology ,Imaging phantom ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Nuclear magnetic resonance ,Compressed sensing ,Mockup ,View sharing ,medicine ,Cardiac Imaging Techniques ,Radiology, Nuclear Medicine and imaging ,Computer vision ,Artificial intelligence ,business - Abstract
Purpose Quantitative cardiac MRI, and more particularly T1 mapping, has become a most important modality to characterize myocardial tissue. In this work, the value of a radial variant of the conventional modified Look-Locker inversion recovery sequence (raMOLLI) is demonstrated. Methods The raMOLLI acquisition scheme consisted of five radial echo trains of 80 spokes acquired using either a fast low-angle shot (FLASH) or a true fast imaging with steady-state-precession (TrueFISP) readout at different time points after a single magnetization inversion. View sharing combined with a compressed sensing algorithm allowed the reconstruction of 50 images along the T1 relaxation recovery curve, to which a dictionary-fitting approach was applied to estimate T1 . The sequence was validated on a nine-vial phantom, on 19 healthy subjects, and one patient suffering from dilated cardiomyopathy. Results The raMOLLI sequence allowed a significant decrease of myocardial T1 map acquisition time down to five heartbeats, while exhibiting a higher degree of accuracy and a comparable precision on T1 value estimation than the conventional modified Look-Locker inversion recovery sequence. The FLASH readout demonstrated a better robustness to B0 inhomogeneities than TrueFISP, and was therefore preferred for in vivo acquisitions. Conclusions This sequence represents a good candidate for ultrafast acquisition of myocardial T1 maps. Magn Reson Med 79:1387-1398, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
- Published
- 2017
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