Modified look-locker inversion recovery (MOLLI) T 1 mapping with inversion group (IG) fitting - A method for improved precision

MOLLI-based T1 mapping has been applied to a variety of cardiac pathologies. However, conventional MOLLI's requirement for rest periods between inversion groups increases scan time, and limits the choice of inversion groups. The recently developed inversion group (IG) fitting technique eliminat...

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Bibliographic Details
Published in:Magnetic resonance imaging Vol. 62; p. 38
Main Authors: Sussman, Marshall S, Wintersperger, Bernd J
Format: Journal Article
Language:English
Published: Netherlands 01.10.2019
Subjects:
Algorithms
Cardiomyopathies - diagnostic imaging
Computer Simulation
Heart - diagnostic imaging
Heart Defects, Congenital - diagnostic imaging
Humans
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging
Models, Statistical
Monte Carlo Method
Motion
Myocardial Ischemia - diagnostic imaging
Myocardium - pathology
Phantoms, Imaging
Reproducibility of Results
Software
Time
Look-locker
T
MOLLI
MRI
Cardiac
Inversion group
ISSN:1873-5894
Online Access:Get full text
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Summary:MOLLI-based T1 mapping has been applied to a variety of cardiac pathologies. However, conventional MOLLI's requirement for rest periods between inversion groups increases scan time, and limits the choice of inversion groups. The recently developed inversion group (IG) fitting technique eliminates the rest period requirement, and permits complete flexibility of inversion groups. However, a limitation is that its T1 maps have low precision - up to 30% poorer than conventional 3-parameter methods. In the original IG method, T1 maps were derived from the first inversion group only. In the present study, a technique is presented which utilize data from all inversion groups to generate T1 maps. It is hypothesized this "composite-IG" fitting method will provided improved prevision over conventional-IG T1 mapping methods. Simulations, phantom, and in vivo experiments on nine clinical cardiac patients (congenital heart disease, ischemic- and non-ischemic cardiomyopathy) were performed. Imaging was performed on a 1.5 T Siemens scanner. Myocardial T1 mapping precision and reproducibility were calculated for conventional-IG, composite-IG, and 3-parameter techniques. Precision and reproducibility between the techniques was compared using the Wilcoxon Signed Rank test. Statistical significance was set at the 95% confidence level, with the Bonferroni correction for multiple comparisons employed. Composite-IG improves precision by 16-38% over conventional-IG (p < 0.01). Composite-IG T1 maps provided up to 5% better precision than 3-parameter fits (p < 0.01). Composite-IG had better reproducibility than conventional-IG (p < 0.01). However, there was no significant difference between composite-IG and conventional 5(3)3 3-parameter reproducibility.
ISSN:1873-5894
DOI:10.1016/j.mri.2019.06.002