A regularized reconstruction pipeline for high-definition diffusion MRI in challenging regions incorporating a per-shot image correction.

TitleA regularized reconstruction pipeline for high-definition diffusion MRI in challenging regions incorporating a per-shot image correction.
Publication TypeJournal Article
Year of Publication2019
AuthorsCousin SF, Liberman G, Solomon E, Otikovs M, Frydman L
JournalMagn Reson Med
Volume82
Issue4
Pagination1322-1330
Date Published2019 10
ISSN1522-2594
KeywordsAlgorithms, Brain, Diffusion Magnetic Resonance Imaging, Humans, Image Processing, Computer-Assisted
Abstract

PURPOSE: Diffusion MRI is of interest for clinical research and diagnosis. Whereas high- resolution DWI/DTI is hard to achieve by single-shot methods, interleaved acquisitions can deliver these if motion and/or folding artefacts are overcome. Thanks to its ability to provide zoomed, folding-free images, spatially encoded MRI can fulfill these requirements. This is here coupled with a regularized reconstruction and parallel receive methods, to deliver a robust scheme for human DWI/DTI at mm and sub-mm resolutions.

METHODS: Each shot along the spatially encoded dimension was reconstructed separately to retrieve per-shot phase maps. These shots, together with coil sensitivities, were combined with spatially encoded quadratic phase-encoding matrices associated to each shot, into single global operators. Their originating images were then iteratively computed aided by l and l regularization methods. When needed, motion-corrupted shots were discarded and replaced by redundant information arising from parallel imaging.

RESULTS: Full-brain DTI experiments at 1 mm and restricted brain DTIs with 0.75 mm nominal in-plane resolutions were acquired and reconstructed successfully by the new scheme. These 3 Tesla spetiotemporally encoded results compared favorably with EPI counterparts based on segmented and selective excitation schemes provided with the scanner.

CONCLUSION: A new procedure for achieving high-definition diffusion-based MRI was developed and demonstrated.

DOI10.1002/mrm.27802
Alternate JournalMagn Reson Med
PubMed ID31166043
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065