Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images
详细信息 查看全文
- 作者：Tianming Zhana ; ztm@ujs.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Renping Yub ; Yu Zhengc ; Yongzhao Zhana ; Liang Xiaob ; Zhihui Weib
- 关键词：Multinomial logistic regression ; Markov random field ; Multi-sequence magnetic resonance image ; White matter lesion segmentation
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：52-62
- 全文大小：1809 K
文摘
- •
A three-step white matter segmentation method is proposed.
- •
Multimodal, spatial and pathology information are integrated in our method.
- •
The improved MRF regularisation term integrated by edge penalty is proposed.
- •
Our method can be widely applied in other medical image segmentation.
- •
The proposed method is tested on two public datasets and yields good results.