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Accelerating magnetic resonance fingerprinting (MRF) using t‐blipped simultaneous multislice (SMS) acquisition
Author(s) -
Ye Huihui,
Ma Dan,
Jiang Yun,
Cauley Stephen F.,
Du Yiping,
Wald Lawrence L.,
Griswold Mark A.,
Setsompop Kawin
Publication year - 2016
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.25799
Subject(s) - computer science , artificial intelligence , scanner , pattern recognition (psychology) , data acquisition , multislice , signal (programming language) , nuclear magnetic resonance , physics , programming language , operating system
Purpose We incorporate simultaneous multislice (SMS) acquisition into MR fingerprinting (MRF) to accelerate the MRF acquisition. Methods The t‐Blipped SMS‐MRF method is achieved by adding a G z blip before each data acquisition window and balancing it with a G z blip of opposing polarity at the end of each TR. Thus the signal from different simultaneously excited slices are encoded with different phases without disturbing the signal evolution. Furthermore, by varying the G z blip area and/or polarity as a function of repetition time, the slices' differential phase can also be made to vary as a function of time. For reconstruction of t‐Blipped SMS‐MRF data, we demonstrate a combined slice‐direction SENSE and modified dictionary matching method. Results In Monte Carlo simulation, the parameter mapping from multiband factor (MB) = 2 t‐Blipped SMS‐MRF shows good accuracy and precision when compared with results from reference conventional MRF data with concordance correlation coefficients (CCC) of 0.96 for T 1 estimates and 0.90 for T 2 estimates. For in vivo experiments, T 1 and T 2 maps from MB=2 t‐Blipped SMS‐MRF have a high agreement with ones from conventional MRF. Conclusion The MB=2 t‐Blipped SMS‐MRF acquisition/reconstruction method has been demonstrated and validated to provide more rapid parameter mapping in the MRF framework. Magn Reson Med 75:2078–2085, 2016. © 2015 Wiley Periodicals, Inc.