Automatic segmentation approach to extracting neonatal cerebral ventricles from 3D ultrasound images
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- 作者：Wu Qiu1 ; a ; b ; qiu.wu.ch@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Yimin Chen1 ; c ; ym.chen@my.cityu.edu.hk" class="auth_mail" title="E-mail the corresponding author ; Jessica Kishimotoa ; d ; Sandrine de Ribaupierree ; Bernard Chiuc ; Aaron Fenstera ; d ; Jing Yuan ; a ; d ; f ; jyuan@robarts.ca" class="auth_mail" title="E-mail the corresponding author
- 关键词：3D Ultrasound imaging ; Automatic neonatal cerebral ventricle segmentation ; Multi-phase geodesic level-sets ; Convex optimization
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：181-191
- 全文大小：2830 K
文摘
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First study on automatic segmentation of neonatal ventricles from 3D US images.
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Multi-atlas initialized multi-region segmentation approach.
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Convex optimization based minimization of the defined energy function.
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Parallelized GPU implementation.