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Compressed sensing CPMG with group‐sparse reconstruction for myelin water imaging
Author(s) -
Chen Henry S.,
Majumdar Angshul,
Kozlowski Piotr
Publication year - 2014
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.24777
Subject(s) - undersampling , compressed sensing , imaging phantom , computer science , myelin , redundancy (engineering) , spinal cord , pattern recognition (psychology) , biomedical engineering , artificial intelligence , nuclear medicine , central nervous system , medicine , endocrinology , psychiatry , operating system
Purpose Myelin content is a marker for nervous system pathology and is quantifiable by myelin water imaging using multi‐echo CPMG sequence, which is inherently slow. One way to accelerate the scan is to utilize compressed sensing. However, reconstructing the images piecemeal by standard compressed sensing methods is not the optimal solution, because it only exploits intraimage spatial redundancy. It does not recognize that the different T2 weighted images are scans of the same anatomical volume and hence correlated. The purpose of this work is to test the feasibility of compressed sensed CPMG with group‐sparsity promoting optimization for myelin water imaging. Methods Group‐sparse reconstruction was performed at various simulated and actual undersampling factors for an electronic phantom, ex vivo rat spinal cord, and in vivo rat spinal cord. Normalized mean square error was used as the metric for comparison. Results For both simulated undersampling and the actual undersampling, the method was found to minimally impact myelin water fraction map quality (normalized mean square error < 0.25) when acceleration factor was below two. Conclusion Compressed sensed CPMG with group‐sparse reconstruction is useful for achieving a shorter scan time than traditionally possible. Magn Reson Med 71:1166–1171, 2014. © 2013 Wiley Periodicals, Inc.