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Published on: June 9, 2018
Longitudinal segmentation of age-related white matter hyperintensities
Carole H Sudre1, M Jorge Cardoso1, Sebastien Ourselin1
1Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK; Dementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
None:
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.
