Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy

Ferran Prados, Marcello Moccia, Aubrey Johnson, Marios Yiannakas, Francesco Grussu, Manuel Jorge Cardoso, Olga Ciccarelli, Sebastien Ourselin, Frederik Barkhof, Claudia Wheeler-Kingshott

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and serve as in vivo biomarkers of neurodegeneration. Longitudinal spinal cord atrophy rate is commonly determined from the numerical difference between two volumes (based on 3D surface fitting) or two cross-sectional areas (CSA, based on 2D edge detection) obtained at different time-points. Being an indirect measure, atrophy rates are susceptible to variable segmentation errors at the edge of the spinal cord. To overcome those limitations, we developed a new registration-based pipeline that measures atrophy rates directly. We based our approach on the generalised boundary shift integral (GBSI) method, which registers 2 scans and uses a probabilistic XOR mask over the edge of the spinal cord, thereby measuring atrophy more accurately than segmentation-based techniques. Using a large cohort of longitudinal spinal cord images (610 subjects with multiple sclerosis from a multi-centre trial and 52 healthy controls), we demonstrated that GBSI is a sensitive, quantitative and objective measure of longitudinal spinal cord volume change. The GBSI pipeline is repeatable, reproducible, and provides more precise measurements of longitudinal spinal cord atrophy than segmentation-based methods in longitudinal spinal cord atrophy studies.
Original languageEnglish
Article number116489
JournalNeuroImage
Volume209
Early online date24 Dec 2019
DOIs
Publication statusPublished - 2020

Cite this

Prados, F., Moccia, M., Johnson, A., Yiannakas, M., Grussu, F., Cardoso, M. J., ... Wheeler-Kingshott, C. (2020). Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. NeuroImage, 209, [116489]. https://doi.org/10.1016/j.neuroimage.2019.116489, https://doi.org/10.1016/j.neuroimage.2019.116489
Prados, Ferran ; Moccia, Marcello ; Johnson, Aubrey ; Yiannakas, Marios ; Grussu, Francesco ; Cardoso, Manuel Jorge ; Ciccarelli, Olga ; Ourselin, Sebastien ; Barkhof, Frederik ; Wheeler-Kingshott, Claudia. / Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. In: NeuroImage. 2020 ; Vol. 209.
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abstract = "Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and serve as in vivo biomarkers of neurodegeneration. Longitudinal spinal cord atrophy rate is commonly determined from the numerical difference between two volumes (based on 3D surface fitting) or two cross-sectional areas (CSA, based on 2D edge detection) obtained at different time-points. Being an indirect measure, atrophy rates are susceptible to variable segmentation errors at the edge of the spinal cord. To overcome those limitations, we developed a new registration-based pipeline that measures atrophy rates directly. We based our approach on the generalised boundary shift integral (GBSI) method, which registers 2 scans and uses a probabilistic XOR mask over the edge of the spinal cord, thereby measuring atrophy more accurately than segmentation-based techniques. Using a large cohort of longitudinal spinal cord images (610 subjects with multiple sclerosis from a multi-centre trial and 52 healthy controls), we demonstrated that GBSI is a sensitive, quantitative and objective measure of longitudinal spinal cord volume change. The GBSI pipeline is repeatable, reproducible, and provides more precise measurements of longitudinal spinal cord atrophy than segmentation-based methods in longitudinal spinal cord atrophy studies.",
author = "Ferran Prados and Marcello Moccia and Aubrey Johnson and Marios Yiannakas and Francesco Grussu and Cardoso, {Manuel Jorge} and Olga Ciccarelli and Sebastien Ourselin and Frederik Barkhof and Claudia Wheeler-Kingshott",
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Prados, F, Moccia, M, Johnson, A, Yiannakas, M, Grussu, F, Cardoso, MJ, Ciccarelli, O, Ourselin, S, Barkhof, F & Wheeler-Kingshott, C 2020, 'Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy' NeuroImage, vol. 209, 116489. https://doi.org/10.1016/j.neuroimage.2019.116489, https://doi.org/10.1016/j.neuroimage.2019.116489

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. / Prados, Ferran; Moccia, Marcello; Johnson, Aubrey; Yiannakas, Marios; Grussu, Francesco; Cardoso, Manuel Jorge; Ciccarelli, Olga; Ourselin, Sebastien; Barkhof, Frederik; Wheeler-Kingshott, Claudia.

In: NeuroImage, Vol. 209, 116489, 2020.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy

AU - Prados, Ferran

AU - Moccia, Marcello

AU - Johnson, Aubrey

AU - Yiannakas, Marios

AU - Grussu, Francesco

AU - Cardoso, Manuel Jorge

AU - Ciccarelli, Olga

AU - Ourselin, Sebastien

AU - Barkhof, Frederik

AU - Wheeler-Kingshott, Claudia

N1 - Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2020

Y1 - 2020

N2 - Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and serve as in vivo biomarkers of neurodegeneration. Longitudinal spinal cord atrophy rate is commonly determined from the numerical difference between two volumes (based on 3D surface fitting) or two cross-sectional areas (CSA, based on 2D edge detection) obtained at different time-points. Being an indirect measure, atrophy rates are susceptible to variable segmentation errors at the edge of the spinal cord. To overcome those limitations, we developed a new registration-based pipeline that measures atrophy rates directly. We based our approach on the generalised boundary shift integral (GBSI) method, which registers 2 scans and uses a probabilistic XOR mask over the edge of the spinal cord, thereby measuring atrophy more accurately than segmentation-based techniques. Using a large cohort of longitudinal spinal cord images (610 subjects with multiple sclerosis from a multi-centre trial and 52 healthy controls), we demonstrated that GBSI is a sensitive, quantitative and objective measure of longitudinal spinal cord volume change. The GBSI pipeline is repeatable, reproducible, and provides more precise measurements of longitudinal spinal cord atrophy than segmentation-based methods in longitudinal spinal cord atrophy studies.

AB - Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and serve as in vivo biomarkers of neurodegeneration. Longitudinal spinal cord atrophy rate is commonly determined from the numerical difference between two volumes (based on 3D surface fitting) or two cross-sectional areas (CSA, based on 2D edge detection) obtained at different time-points. Being an indirect measure, atrophy rates are susceptible to variable segmentation errors at the edge of the spinal cord. To overcome those limitations, we developed a new registration-based pipeline that measures atrophy rates directly. We based our approach on the generalised boundary shift integral (GBSI) method, which registers 2 scans and uses a probabilistic XOR mask over the edge of the spinal cord, thereby measuring atrophy more accurately than segmentation-based techniques. Using a large cohort of longitudinal spinal cord images (610 subjects with multiple sclerosis from a multi-centre trial and 52 healthy controls), we demonstrated that GBSI is a sensitive, quantitative and objective measure of longitudinal spinal cord volume change. The GBSI pipeline is repeatable, reproducible, and provides more precise measurements of longitudinal spinal cord atrophy than segmentation-based methods in longitudinal spinal cord atrophy studies.

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