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Fast cardiac T 1 mapping in mice using a model‐based compressed sensing method
Author(s) -
Li Wen,
Griswold Mark,
Yu Xin
Publication year - 2012
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.23323
Subject(s) - imaging phantom , compressed sensing , aliasing , artifact (error) , computer science , sampling (signal processing) , relaxation (psychology) , temporal resolution , iterative reconstruction , image resolution , algorithm , current (fluid) , reconstruction algorithm , biomedical engineering , pattern recognition (psychology) , artificial intelligence , computer vision , physics , undersampling , medicine , optics , filter (signal processing) , thermodynamics
Direct measurement of the longitudinal relaxation time T 1 provides objective and quantitative diagnostic information. However, current T 1 mapping methods are generally time consuming without the aid of fast imaging. This study used a model‐based compressed sensing method for fast cardiac T 1 mapping in small animals. Based on the physics of magnetization recovery, the aliasing artifact associated with under‐sampling was removed by exploiting the sparsity of the signals in the T 1 recovery direction. Simulation study was performed to evaluate the reconstruction accuracy under various experimental conditions. Several approaches that accounted for phase variations were compared for optimized reconstruction in the phantom study. In vivo validation was performed on a cardiac manganese‐enhanced MRI study using mice. Accurate reconstruction of the under‐sampled images and the resulting T 1 maps were achieved in both simulation and MRI studies on phantom and in vivo mice. These results suggest that the current compressed sensing method allows fast (<80 s) T 1 mapping of the mouse heart at high spatial resolution (234 × 469 μm 2 ). Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.