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Slice-level diffusion encoding for motion and distortion correction()

Advances in microstructural modelling are leading to growing requirements on diffusion MRI acquisitions, namely sensitivity to smaller structures and better resolution of the geometric orientations. The resulting acquisitions contain highly attenuated images that present particular challenges when t...

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Autores principales: Hutter, Jana, Christiaens, Daan J, Schneider, Torben, Cordero-Grande, Lucilio, Slator, Paddy J, Deprez, Maria, Price, Anthony N, Tournier, J-Donald, Rutherford, Mary, Hajnal, Joseph V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191883/
https://www.ncbi.nlm.nih.gov/pubmed/29966941
http://dx.doi.org/10.1016/j.media.2018.06.008
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author Hutter, Jana
Christiaens, Daan J
Schneider, Torben
Cordero-Grande, Lucilio
Slator, Paddy J
Deprez, Maria
Price, Anthony N
Tournier, J-Donald
Rutherford, Mary
Hajnal, Joseph V
author_facet Hutter, Jana
Christiaens, Daan J
Schneider, Torben
Cordero-Grande, Lucilio
Slator, Paddy J
Deprez, Maria
Price, Anthony N
Tournier, J-Donald
Rutherford, Mary
Hajnal, Joseph V
author_sort Hutter, Jana
collection PubMed
description Advances in microstructural modelling are leading to growing requirements on diffusion MRI acquisitions, namely sensitivity to smaller structures and better resolution of the geometric orientations. The resulting acquisitions contain highly attenuated images that present particular challenges when there is motion and geometric distortion. This study proposes to address these challenges by breaking with the conventional one-volume-one-encoding paradigm employed in conventional diffusion imaging using single-shot Echo Planar Imaging. By enabling free choice of the diffusion encoding on the slice level, a higher temporal sampling of slices with low b-value can be achieved. These allow more robust motion correction, and in combination with a second reversed phase-encoded echo, also dynamic distortion correction. These proposed advances are validated on phantom and adult experiments and employed in a study of eight foetal subjects. Equivalence in obtained diffusion quantities with the conventional method is demonstrated as well as benefits in distortion and motion correction. The resulting capability can be combined with any acquisition parameters including multiband imaging and allows application to diffusion MRI studies in general.
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spelling pubmed-61918832018-10-19 Slice-level diffusion encoding for motion and distortion correction() Hutter, Jana Christiaens, Daan J Schneider, Torben Cordero-Grande, Lucilio Slator, Paddy J Deprez, Maria Price, Anthony N Tournier, J-Donald Rutherford, Mary Hajnal, Joseph V Med Image Anal Article Advances in microstructural modelling are leading to growing requirements on diffusion MRI acquisitions, namely sensitivity to smaller structures and better resolution of the geometric orientations. The resulting acquisitions contain highly attenuated images that present particular challenges when there is motion and geometric distortion. This study proposes to address these challenges by breaking with the conventional one-volume-one-encoding paradigm employed in conventional diffusion imaging using single-shot Echo Planar Imaging. By enabling free choice of the diffusion encoding on the slice level, a higher temporal sampling of slices with low b-value can be achieved. These allow more robust motion correction, and in combination with a second reversed phase-encoded echo, also dynamic distortion correction. These proposed advances are validated on phantom and adult experiments and employed in a study of eight foetal subjects. Equivalence in obtained diffusion quantities with the conventional method is demonstrated as well as benefits in distortion and motion correction. The resulting capability can be combined with any acquisition parameters including multiband imaging and allows application to diffusion MRI studies in general. Elsevier 2018-08 /pmc/articles/PMC6191883/ /pubmed/29966941 http://dx.doi.org/10.1016/j.media.2018.06.008 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hutter, Jana
Christiaens, Daan J
Schneider, Torben
Cordero-Grande, Lucilio
Slator, Paddy J
Deprez, Maria
Price, Anthony N
Tournier, J-Donald
Rutherford, Mary
Hajnal, Joseph V
Slice-level diffusion encoding for motion and distortion correction()
title Slice-level diffusion encoding for motion and distortion correction()
title_full Slice-level diffusion encoding for motion and distortion correction()
title_fullStr Slice-level diffusion encoding for motion and distortion correction()
title_full_unstemmed Slice-level diffusion encoding for motion and distortion correction()
title_short Slice-level diffusion encoding for motion and distortion correction()
title_sort slice-level diffusion encoding for motion and distortion correction()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191883/
https://www.ncbi.nlm.nih.gov/pubmed/29966941
http://dx.doi.org/10.1016/j.media.2018.06.008
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