Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI

<p><strong>Purpose:&nbsp;</strong>To develop a new method for high-fidelity, high-resolution 3D multi-slab diffusion MRI with minimal distortion and boundary slice aliasing.</p> <p><strong>Methods:&nbsp;</strong>Our method modifies 3D multi-slab imag...

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Main Authors: Li, Z, Miller, KL, Andersson, JLR, Zhang, J, Liu, S, Guo, H, Wu, W
Format: Journal article
Language:English
Published: Wiley 2023
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author Li, Z
Miller, KL
Andersson, JLR
Zhang, J
Liu, S
Guo, H
Wu, W
author_facet Li, Z
Miller, KL
Andersson, JLR
Zhang, J
Liu, S
Guo, H
Wu, W
author_sort Li, Z
collection OXFORD
description <p><strong>Purpose:&nbsp;</strong>To develop a new method for high-fidelity, high-resolution 3D multi-slab diffusion MRI with minimal distortion and boundary slice aliasing.</p> <p><strong>Methods:&nbsp;</strong>Our method modifies 3D multi-slab imaging to integrate blip-reversed acquisitions for distortion correction and oversampling in the slice direction (k<sub>z</sub>) for reducing boundary slice aliasing. Our aim is to achieve robust acceleration to keep the scan time the same as conventional 3D multi-slab acquisitions, in which data are acquired with a single direction of blip traversal and without k<sub>z</sub>-oversampling. We employ a two-stage reconstruction. In the first stage, the blip-up/down images are respectively reconstructed and analyzed to produce a field map for each diffusion direction. In the second stage, the blip-reversed data and the field map are incorporated into a joint reconstruction to produce images that are corrected for distortion and boundary slice aliasing.</p> <p><strong>Results:&nbsp;</strong>We conducted experiments at 7T in six healthy subjects. Stage 1 reconstruction produces images from highly under-sampled data (<em>R</em>&thinsp;=&thinsp;7.2) with sufficient quality to provide accurate field map estimation. Stage 2 joint reconstruction substantially reduces distortion artifacts with comparable quality to fully-sampled blip-reversed results (2.4&times; scan time). Whole-brain in-vivo results acquired at 1.22&thinsp;mm and 1.05&thinsp;mm isotropic resolutions demonstrate improved anatomical fidelity compared to conventional 3D multi-slab imaging. Data demonstrate good reliability and reproducibility of the proposed method over multiple subjects.</p> <p><strong>Conclusion:&nbsp;</strong>The proposed acquisition and reconstruction framework provide major reductions in distortion and boundary slice aliasing for 3D multi-slab diffusion MRI without increasing the scan time, which can potentially produce high-quality, high-resolution diffusion MRI.</p>
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spelling oxford-uuid:5a6ef0b8-f478-4140-b602-d057b5b100672024-01-19T10:50:16ZSampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRIJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5a6ef0b8-f478-4140-b602-d057b5b10067EnglishSymplectic ElementsWiley2023Li, ZMiller, KLAndersson, JLRZhang, JLiu, SGuo, HWu, W<p><strong>Purpose:&nbsp;</strong>To develop a new method for high-fidelity, high-resolution 3D multi-slab diffusion MRI with minimal distortion and boundary slice aliasing.</p> <p><strong>Methods:&nbsp;</strong>Our method modifies 3D multi-slab imaging to integrate blip-reversed acquisitions for distortion correction and oversampling in the slice direction (k<sub>z</sub>) for reducing boundary slice aliasing. Our aim is to achieve robust acceleration to keep the scan time the same as conventional 3D multi-slab acquisitions, in which data are acquired with a single direction of blip traversal and without k<sub>z</sub>-oversampling. We employ a two-stage reconstruction. In the first stage, the blip-up/down images are respectively reconstructed and analyzed to produce a field map for each diffusion direction. In the second stage, the blip-reversed data and the field map are incorporated into a joint reconstruction to produce images that are corrected for distortion and boundary slice aliasing.</p> <p><strong>Results:&nbsp;</strong>We conducted experiments at 7T in six healthy subjects. Stage 1 reconstruction produces images from highly under-sampled data (<em>R</em>&thinsp;=&thinsp;7.2) with sufficient quality to provide accurate field map estimation. Stage 2 joint reconstruction substantially reduces distortion artifacts with comparable quality to fully-sampled blip-reversed results (2.4&times; scan time). Whole-brain in-vivo results acquired at 1.22&thinsp;mm and 1.05&thinsp;mm isotropic resolutions demonstrate improved anatomical fidelity compared to conventional 3D multi-slab imaging. Data demonstrate good reliability and reproducibility of the proposed method over multiple subjects.</p> <p><strong>Conclusion:&nbsp;</strong>The proposed acquisition and reconstruction framework provide major reductions in distortion and boundary slice aliasing for 3D multi-slab diffusion MRI without increasing the scan time, which can potentially produce high-quality, high-resolution diffusion MRI.</p>
spellingShingle Li, Z
Miller, KL
Andersson, JLR
Zhang, J
Liu, S
Guo, H
Wu, W
Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title_full Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title_fullStr Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title_full_unstemmed Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title_short Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI
title_sort sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high resolution 3d diffusion mri
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