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Design of k-Space Channel Combination Kernels and Integration with Parallel Imaging
Journal article   Open access   Peer reviewed

Design of k-Space Channel Combination Kernels and Integration with Parallel Imaging

Philip J. Beatty, Shaorong Chang, James H. Holmes, Kang Wang, Anja C. S. Brau, Scott B. Reeder and Jean H. Brittain
Magnetic resonance in medicine, Vol.71(6), pp.2139-2154
06/01/2014
DOI: 10.1002/mrm.24883
PMCID: PMC4240256
PMID: 23943602
url
https://doi.org/10.1002/mrm.24883View
Published (Version of record) Open Access

Abstract

PurposeIn this work, a new method is described for producing local k-space channel combination kernels using a small amount of low-resolution multichannel calibration data. Additionally, this work describes how these channel combination kernels can be combined with local k-space unaliasing kernels produced by the calibration phase of parallel imaging methods such as GRAPPA, PARS and ARC. MethodsExperiments were conducted to evaluate both the image quality and computational efficiency of the proposed method compared to a channel-by-channel parallel imaging approach with image-space sum-of-squares channel combination. ResultsResults indicate comparable image quality overall, with some very minor differences seen in reduced field-of-view imaging. It was demonstrated that this method enables a speed up in computation time on the order of 3-16X for 32-channel data sets. ConclusionThe proposed method enables high quality channel combination to occur earlier in the reconstruction pipeline, reducing computational and memory requirements for image reconstruction. Magn Reson Med 71:2139-2154, 2014. (c) 2013 Wiley Periodicals, Inc.
Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology

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