Longitudinal segmentation of age-related white matter hyperintensities

Carole H. Sudre; M. Jorge Cardoso; Sebastien Ourselin; Alzheimer's Disease Neuroimaging Initiative

doi:10.1016/j.media.2017.02.007

Longitudinal segmentation of age-related white matter hyperintensities

Carole H. Sudre^*, M. Jorge Cardoso, Sebastien Ourselin, Alzheimer's Disease Neuroimaging Initiative

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created allowing for the comparison between the longitudinal and the cross-sectional version in various situations of lesion load progression. Finally, applied to clinical data, the proposed framework demonstrates an increased robustness compared to available cross-sectional methods and findings are aligned with previously reported clinical patterns.

Original language	English
Pages (from-to)	50-64
Number of pages	15
Journal	Medical Image Analysis
Volume	38
Early online date	24 Feb 2017
DOIs	https://doi.org/10.1016/j.media.2017.02.007
Publication status	Published - 1 May 2017

Keywords

Longitudinal
Segmentation
White matter hyperintensities

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10.1016/j.media.2017.02.007Licence: CC BY

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abstract = "Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created allowing for the comparison between the longitudinal and the cross-sectional version in various situations of lesion load progression. Finally, applied to clinical data, the proposed framework demonstrates an increased robustness compared to available cross-sectional methods and findings are aligned with previously reported clinical patterns.",

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AU - Cardoso, M. Jorge

AU - Ourselin, Sebastien

AU - Alzheimer's Disease Neuroimaging Initiative

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Y1 - 2017/5/1

N2 - Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created allowing for the comparison between the longitudinal and the cross-sectional version in various situations of lesion load progression. Finally, applied to clinical data, the proposed framework demonstrates an increased robustness compared to available cross-sectional methods and findings are aligned with previously reported clinical patterns.

AB - Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created allowing for the comparison between the longitudinal and the cross-sectional version in various situations of lesion load progression. Finally, applied to clinical data, the proposed framework demonstrates an increased robustness compared to available cross-sectional methods and findings are aligned with previously reported clinical patterns.

KW - Longitudinal

KW - Segmentation

KW - White matter hyperintensities

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JF - Medical Image Analysis

ER -

Longitudinal segmentation of age-related white matter hyperintensities

Abstract

Keywords

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