High‐resolution multi‐shot diffusion‐weighted MRI combining markerless prospective motion correction and locally low‐rank constrained reconstruction
Purpose Subject head motion is a major challenge in DWI, leading to image blurring, signal losses, and biases in the estimated diffusion parameters. Here, we investigate a combined application of prospective motion correction and spatial‐angular locally low‐rank constrained reconstruction to obtain...
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Published in | Magnetic resonance in medicine Vol. 89; no. 2; pp. 605 - 619 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc
01.02.2023
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Subjects | |
Online Access | Get full text |
ISSN | 0740-3194 1522-2594 1522-2594 |
DOI | 10.1002/mrm.29468 |
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Summary: | Purpose
Subject head motion is a major challenge in DWI, leading to image blurring, signal losses, and biases in the estimated diffusion parameters. Here, we investigate a combined application of prospective motion correction and spatial‐angular locally low‐rank constrained reconstruction to obtain robust, multi‐shot, high‐resolution diffusion‐weighted MRI under substantial motion.
Methods
Single‐shot EPI with retrospective motion correction can mitigate motion artifacts and resolve any mismatching of gradient encoding orientations; however, it is limited by low spatial resolution and image distortions. Multi‐shot acquisition strategies could achieve higher resolution and image fidelity but increase the vulnerability to motion artifacts and phase variations related to cardiac pulsations from shot to shot. We use prospective motion correction with optical markerless motion tracking to remove artifacts and reduce image blurring due to bulk motion, combined with locally low‐rank regularization to correct for remaining artifacts due to shot‐to‐shot phase variations.
Results
The approach was evaluated on healthy adult volunteers at 3 Tesla under different motion patterns. In multi‐shot DWI, image blurring due to motion with 20 mm translations and 30° rotations was successfully removed by prospective motion correction, and aliasing artifacts caused by shot‐to‐shot phase variations were addressed by locally low‐rank regularization. The ability of prospective motion correction to preserve the orientational information in DTI without requiring a reorientation of the b‐matrix is highlighted.
Conclusion
The described technique is proved to hold valuable potential for mapping brain diffusivity and connectivity at high resolution for studies in subjects/cohorts where motion is common, including neonates, pediatrics, and patients with neurological disorders. |
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Bibliography: | Hao Chen and Ke Dai contributed equally to this work. This work was supported by National Natural Science Foundation of China (NSFC), grant no. 62001290; Shanghai Science and Technology Development Funds, grant 21DZ1100300; and the Shanghai Sailing Program, grant 20YF1420900; and was also funded by the Israel Science Foundation (ISF), grants 3594/21 and 965/18. Funding Information ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0740-3194 1522-2594 1522-2594 |
DOI: | 10.1002/mrm.29468 |