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Fast, precise, and accurate myocardial T1 mapping using a radial MOLLI sequence with FLASH readout
- Source :
- Magnetic Resonance in Medicine. 79:1387-1398
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
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.
- 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
Subjects
Details
- ISSN :
- 07403194
- Volume :
- 79
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi...........dce460beb090f8e66b0ad1d492fc7fa8
- Full Text :
- https://doi.org/10.1002/mrm.26795