Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy

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 bet...

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Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 209; s. 116489
Hlavní autoři:	Prados, Ferran, Moccia, Marcello, Johnson, Aubrey, Yiannakas, Marios, Grussu, Francesco, Cardoso, Manuel Jorge, Ciccarelli, Olga, Ourselin, Sebastien, Barkhof, Frederik, Wheeler-Kingshott, Claudia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 01.04.2020 Elsevier Limited Elsevier
Témata:	Adult Algorithms Atrophy Atrophy - pathology Bias Clinical trials Disease Disease Progression Double-Blind Method Female Humans Image Interpretation, Computer-Assisted - methods Image Interpretation, Computer-Assisted - standards Longitudinal Studies Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - standards Male Methods Multiple sclerosis Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Neurodegeneration Neuroimaging - methods Neuroimaging - standards Neurological diseases Noise Pipelines Registration Scanners Segmentation Software Spinal cord Spinal Cord - diagnostic imaging Spinal Cord - pathology
ISSN:	1053-8119, 1095-9572, 1095-9572
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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. •GBSI is a registration-based pipeline that measures longitudinal spinal cord atrophy.•GBSI is a sensitive and objective measure of longitudinal spinal cord volume change.•A new promising method for computing spinal cord atrophy in clinical trials.
AbstractList	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. 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. •GBSI is a registration-based pipeline that measures longitudinal spinal cord atrophy.•GBSI is a sensitive and objective measure of longitudinal spinal cord volume change.•A new promising method for computing spinal cord atrophy in clinical trials. 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.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.
ArticleNumber	116489
Author	Cardoso, Manuel Jorge Ciccarelli, Olga Grussu, Francesco Yiannakas, Marios Wheeler-Kingshott, Claudia Moccia, Marcello Johnson, Aubrey Barkhof, Frederik Ourselin, Sebastien Prados, Ferran
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Snippet	Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and...
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StartPage	116489
SubjectTerms	Adult Algorithms Atrophy Atrophy - pathology Bias Clinical trials Disease Disease Progression Double-Blind Method Female Humans Image Interpretation, Computer-Assisted - methods Image Interpretation, Computer-Assisted - standards Longitudinal Studies Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - standards Male Methods Multiple sclerosis Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Neurodegeneration Neuroimaging - methods Neuroimaging - standards Neurological diseases Noise Pipelines Registration Scanners Segmentation Software Spinal cord Spinal Cord - diagnostic imaging Spinal Cord - pathology
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Title	Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy
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