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Interleaved diffusion‐weighted improved by adaptive partial‐Fourier and multiband multiplexed sensitivity‐encoding reconstruction
Author(s) -
Chang HingChiu,
Guhaniyogi Shayan,
Chen Nankuei
Publication year - 2015
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.25318
Subject(s) - computer science , aliasing , encoding (memory) , sensitivity (control systems) , fourier transform , computer vision , diffusion mri , artificial intelligence , image quality , algorithm , direct conversion receiver , reconstruction algorithm , iterative reconstruction , multiplexing , homodyne detection , physics , optics , image (mathematics) , magnetic resonance imaging , telecommunications , electronic engineering , quantum mechanics , medicine , undersampling , engineering , radiology
Purpose We report a series of techniques to reliably eliminate artifacts in interleaved echo‐planar imaging (EPI) based diffusion‐weighted imaging (DWI). Methods First, we integrate the previously reported multiplexed sensitivity encoding (MUSE) algorithm with a new adaptive Homodyne partial‐Fourier reconstruction algorithm, so that images reconstructed from interleaved partial‐Fourier DWI data are free from artifacts even in the presence of either (a) motion‐induced k‐space energy peak displacement, or (b) susceptibility field gradient induced fast phase changes. Second, we generalize the previously reported single‐band MUSE framework to multiband MUSE, so that both through‐plane and in‐plane aliasing artifacts in multiband multishot interleaved DWI data can be effectively eliminated. Results The new adaptive Homodyne‐MUSE reconstruction algorithm reliably produces high‐quality and high‐resolution DWI, eliminating residual artifacts in images reconstructed with previously reported methods. Furthermore, the generalized MUSE algorithm is compatible with multiband and high‐throughput DWI. Conclusion The integration of the multiband and adaptive Homodyne‐MUSE algorithms significantly improves the spatial‐resolution, image quality, and scan throughput of interleaved DWI. We expect that the reported reconstruction framework will play an important role in enabling high‐resolution DWI for both neuroscience research and clinical uses. Magn Reson Med 73:1872–1884, 2015. © 2014 Wiley Periodicals, Inc.