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Simultaneous multislice magnetic resonance fingerprinting (SMS‐MRF) with direct‐spiral slice‐GRAPPA (ds‐SG) reconstruction
Author(s) -
Ye Huihui,
Cauley Stephen F.,
Gagoski Borjan,
Bilgic Berkin,
Ma Dan,
Jiang Yun,
Du Yiping P.,
Griswold Mark A.,
Wald Lawrence L.,
Setsompop Kawin
Publication year - 2017
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.26271
Subject(s) - computer science , artificial intelligence , multislice , kernel (algebra) , data acquisition , spiral (railway) , magnetic resonance imaging , computer vision , acceleration , real time mri , pattern recognition (psychology) , nuclear magnetic resonance , physics , mathematics , medicine , mathematical analysis , combinatorics , radiology , operating system , classical mechanics
Purpose To develop a reconstruction method to improve SMS‐MRF, in which slice acceleration is used in conjunction with highly undersampled in‐plane acceleration to speed up MRF acquisition. Methods In this work two methods are employed to efficiently perform the simultaneous multislice magnetic resonance fingerprinting (SMS‐MRF) data acquisition and the direct‐spiral slice‐GRAPPA (ds‐SG) reconstruction. First, the lengthy training data acquisition is shortened by employing the through‐time/through‐k‐space approach, in which similar k‐space locations within and across spiral interleaves are grouped and are associated with a single set of kernel. Second, inversion recovery preparation (IR prepped), variable flip angle (FA), and repetition time (TR) are used for the acquisition of the training data, to increase signal variation and to improve the conditioning of the kernel fitting. Results The grouping of k‐space locations enables a large reduction in the number of kernels required, and the IR‐prepped training data with variable FA and TR provide improved ds‐SG kernels and reconstruction performance. With direct‐spiral slice‐GRAPPA, tissue parameter maps comparable to that of conventional MRF were obtained at multiband (MB) = 3 acceleration using t‐blipped SMS‐MRF acquisition with 32‐channel head coil at 3 Tesla (T). Conclusions The proposed reconstruction scheme allows MB = 3 accelerated SMS‐MRF imaging with high‐quality T 1 , T 2 , and off‐resonance maps, and can be used to significantly shorten MRF acquisition and aid in its adoption in neuro‐scientific and clinical settings. Magn Reson Med 77:1966–1974, 2017. © 2016 International Society for Magnetic Resonance in Medicine