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Segmented simultaneous multi‐slice diffusion weighted imaging with generalized trajectories
Author(s) -
Herbst Michael,
Deng Weiran,
Ernst Thomas,
Stenger V. Andrew
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.26545
Subject(s) - diffusion mri , diffusion , computer science , nuclear magnetic resonance , artificial intelligence , magnetic resonance imaging , pattern recognition (psychology) , medicine , physics , radiology , thermodynamics
Purpose The purpose of this work is to develop and evaluate a single framework for the use of Cartesian and non‐Cartesian segmented trajectories for rapid and robust simultaneous multislice (SMS) diffusion weighted imaging (DWI) at 3 Telsa (T). Methods A generalized SMS approach with intrinsic phase navigation using Multiplexed Sensitivity Encoding (MUSE) was developed. Segmented blipped‐controlled aliasing in parallel imaging echo planar imaging (EPI) and z‐gradient modulated spiral trajectories were examined using SMS DWI scans at 3T with a 32‐channel head coil. Results The generalized SMS MUSE reconstruction framework was successful in significantly reducing artifacts for all trajectories. A DWI brain volume with a 67.5‐mm height, 1.5‐mm isotropic resolution, and 90 diffusion weightings was obtained in a scan time of 6 minutes. Conclusion The MUSE technique can be generalized to allow for reconstruction of both Cartesian and non‐Cartesian segmented trajectories. Magn Reson Med 78:1476–1481, 2017. © 2016 International Society for Magnetic Resonance in Medicine.