Longitudinal segmentation of age-related white matter hyperintensities

被引：22

作者：

Sudre, Carole H. ^{[1
,2
]}

Cardoso, M. Jorge ^{[1
,2
]}

Ourselin, Sebastien ^{[1
,2
]}

机构：

[1] UCL, Ctr Med Image Comp, Dept Med Phys & Biomed Engn, Translat Imaging Grp, 8th Floor Malet Pl Engn Bldg,2 Malet Pl, London WC1E 7JE, England

[2] UCL, Dementia Res Ctr, Inst Neurol, London, England

来源：

MEDICAL IMAGE ANALYSIS | 2017年 / 38卷

基金：

英国工程与自然科学研究理事会; 美国国家卫生研究院; 加拿大健康研究院; 欧盟第七框架计划;

关键词：

White matter hyperintensities; Segmentation; Longitudinal; MULTIPLE-SCLEROSIS LESIONS; BRAIN MRI; LEUKOARAIOSIS; PROGRESSION; IMAGES;

D O I：

10.1016/j.media.2017.02.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2017 The Author(s). Published by Elsevier B.V.

引用

页码：50 / 64

页数：15

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