2017
DOI: 10.1016/j.neuroimage.2017.07.035
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3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI

Abstract: Recent advances in achieving ultrahigh spatial resolution (e.g. sub-millimeter) diffusion MRI (dMRI) data have proven highly beneficial in characterizing tissue microstructures in organs such as the brain. However, the routine acquisition of in-vivo dMRI data at such high spatial resolutions has been largely prohibited by factors that include prolonged acquisition times, motion induced artifacts, and low SNR. To overcome these limitations, we present here a framework for acquiring and reconstructing 3D multi-s… Show more

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Cited by 40 publications
(49 citation statements)
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References 51 publications
(61 reference statements)
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“…Third, when applying SMSlab to diffusion weighted images, physiological motion can cause phase variations among different shots (47). Additional phase correction methods, including navigator acquisition (48,49) and reconstruction algorithms (8,10,23,36,50), would be necessary for dMRI. Finally, the results presented here utilized spin echo EPI (SE-EPI) only.…”
Section: Discussionmentioning
confidence: 99%
“…Third, when applying SMSlab to diffusion weighted images, physiological motion can cause phase variations among different shots (47). Additional phase correction methods, including navigator acquisition (48,49) and reconstruction algorithms (8,10,23,36,50), would be necessary for dMRI. Finally, the results presented here utilized spin echo EPI (SE-EPI) only.…”
Section: Discussionmentioning
confidence: 99%
“…Improving SNR efficiency is critical for achieving high‐isotropic‐resolution DWI. Three‐dimensional multislab DWI has emerged as a promising strategy to enhance the SNR in such acquisitions . However, shot‐to‐shot phase variations and slab‐boundary artifacts are key challenges for efficient sampling of whole‐brain high‐resolution DWI with this technique, where a number of effective techniques have been developed to mitigate these issues .…”
Section: Introductionmentioning
confidence: 99%
“…Three-dimensional multislab DWI has emerged as a promising strategy to enhance the SNR in such acquisitions. [28][29][30][31][32] However, shot-to-shot phase variations and slab-boundary artifacts are key challenges for efficient sampling of whole-brain high-resolution DWI with this technique, 33 where a number of effective techniques have been developed to mitigate these issues. 30,33,34 Another promising approach for high-SNR-efficiency, high-resolution DWI is the Generalized SLIce Dithered Enhanced Resolution (gSlider) method, which is a simultaneous multislab (SMSb) acquisition technique with selfnavigated RF slab encoding, which has been demonstrated for motion-robust, high-resolution DWI.…”
Section: Introductionmentioning
confidence: 99%
“…Others (self‐navigated interleaved spiral, keyhole, periodically rotated overlapping parallel lines with enhanced reconstruction, readout segmentation of long variable echo trains) use different acquisition trajectories, which repeatedly cover certain regions of k‐space, to deduce from these redundancies the phase corrections that should be used to compensate the motions occurring between different shots. Using multireceive head coil, parallel imaging methods that can deduce complementary k‐space regions have also been used to solve motion artefacts, and led to impressive 3D DTI reconstructions …”
Section: Introductionmentioning
confidence: 99%
“…Using multireceive head coil, parallel imaging methods that can deduce complementary k-space regions have also been used to solve motion artefacts 12,13 , and led to impressive 3D DTI reconstructions. 14,15 Spatiotemporal encoding (SPEN) is a single-shot MRI technique that excites the spins and rasterizes the image profile in a spatially sequential manner, rather than acquiring equally-weighted k-domain signals from all spins simultaneously. [16][17][18][19][20][21][22][23] SPEN's resolution is largely defined at excitation rather than at acquisition, allowing one to use stronger phaseencoding acquisition gradients than in EPI.…”
Section: Introductionmentioning
confidence: 99%