Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved..
Diffusion MRI offers a unique probe into neural microstructure and connectivity in the developing brain. However, analysis of neonatal brain imaging data is complicated by inevitable subject motion, leading to a series of scattered slices that need to be aligned within and across diffusion-weighted contrasts. Here, we develop a reconstruction method for scattered slice multi-shell high angular resolution diffusion imaging (HARDI) data, jointly estimating an uncorrupted data representation and motion parameters at the slice or multiband excitation level. The reconstruction relies on data-driven representation of multi-shell HARDI data using a bespoke spherical harmonics and radial decomposition (SHARD), which avoids imposing model assumptions, thus facilitating to compare various microstructure imaging methods in the reconstructed output. Furthermore, the proposed framework integrates slice-level outlier rejection, distortion correction, and slice profile correction. We evaluate the method in the neonatal cohort of the developing Human Connectome Project (650 scans). Validation experiments demonstrate accurate slice-level motion correction across the age range and across the range of motion in the population. Results in the neonatal data show successful reconstruction even in severely motion-corrupted subjects. In addition, we illustrate how local tissue modelling can extract advanced microstructure features such as orientation distribution functions from the motion-corrected reconstructions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:225 |
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| Enthalten in: |
NeuroImage - 225(2021) vom: 15. Jan., Seite 117437 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Christiaens, Daan [VerfasserIn] |
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| Links: |
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| Themen: |
Diffusion MRI |
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| Anmerkungen: |
Date Completed 10.03.2021 Date Revised 16.07.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.neuroimage.2020.117437 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316381527 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a Diffusion MRI offers a unique probe into neural microstructure and connectivity in the developing brain. However, analysis of neonatal brain imaging data is complicated by inevitable subject motion, leading to a series of scattered slices that need to be aligned within and across diffusion-weighted contrasts. Here, we develop a reconstruction method for scattered slice multi-shell high angular resolution diffusion imaging (HARDI) data, jointly estimating an uncorrupted data representation and motion parameters at the slice or multiband excitation level. The reconstruction relies on data-driven representation of multi-shell HARDI data using a bespoke spherical harmonics and radial decomposition (SHARD), which avoids imposing model assumptions, thus facilitating to compare various microstructure imaging methods in the reconstructed output. Furthermore, the proposed framework integrates slice-level outlier rejection, distortion correction, and slice profile correction. We evaluate the method in the neonatal cohort of the developing Human Connectome Project (650 scans). Validation experiments demonstrate accurate slice-level motion correction across the age range and across the range of motion in the population. Results in the neonatal data show successful reconstruction even in severely motion-corrupted subjects. In addition, we illustrate how local tissue modelling can extract advanced microstructure features such as orientation distribution functions from the motion-corrected reconstructions | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Diffusion MRI | |
| 650 | 4 | |a Motion correction | |
| 650 | 4 | |a Multi-shell | |
| 650 | 4 | |a Neonatal imaging | |
| 650 | 4 | |a Slice-to-volume reconstruction | |
| 700 | 1 | |a Cordero-Grande, Lucilio |e verfasserin |4 aut | |
| 700 | 1 | |a Pietsch, Maximilian |e verfasserin |4 aut | |
| 700 | 1 | |a Hutter, Jana |e verfasserin |4 aut | |
| 700 | 1 | |a Price, Anthony N |e verfasserin |4 aut | |
| 700 | 1 | |a Hughes, Emer J |e verfasserin |4 aut | |
| 700 | 1 | |a Vecchiato, Katy |e verfasserin |4 aut | |
| 700 | 1 | |a Deprez, Maria |e verfasserin |4 aut | |
| 700 | 1 | |a Edwards, A David |e verfasserin |4 aut | |
| 700 | 1 | |a Hajnal, Joseph V |e verfasserin |4 aut | |
| 700 | 1 | |a Tournier, J-Donald |e verfasserin |4 aut | |
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