Title | A regularized reconstruction pipeline for high-definition diffusion MRI in challenging regions incorporating a per-shot image correction. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Cousin SF, Liberman G, Solomon E, Otikovs M, Frydman L |
Journal | Magn Reson Med |
Volume | 82 |
Issue | 4 |
Pagination | 1322-1330 |
Date Published | 2019 10 |
ISSN | 1522-2594 |
Keywords | Algorithms, 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. |
DOI | 10.1002/mrm.27802 |
Alternate Journal | Magn Reson Med |
PubMed ID | 31166043 |
Related Institute:
MRI Research Institute (MRIRI)