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	Segmentation of hippocampus based on ROI atlas registration
	Wenyan Chen; Shutao Li; Fucang Jia; Xiaodong Zhang
	2011
会议名称	2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011
会议地点	Guangzhou, China
英文摘要	Since the change of hippocampal volume is an early symptom for Alzheimer's disease, hippocampus segmentation of brain image can be used to assist the diagnosis of the Alzheimer's disease. This paper presents a multi-atlas based segmentation method which produces higher segmentation accuracy than single atlas-based segmentation. After the extraction of the ROI, a two-step registration from atlas images to target image is applied to obtain initial segmentations which are combined to generate the final segmentation by several atlas fusion strategies. In the experiments, four different strategies including single maximum, majority voting (MV) and simultaneous truth performance level estimation (STAPLE) and consensus level, labeler accuracy and truth estimation (COLLATE) are tested. Dice overlap between automatic and manual segmentation is employed to compare the results of these atlas selection strategies. The experimental results show that the COLLATE can achieve the better segmentation result in our study.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3348]
专题	深圳先进技术研究院_集成所
作者单位	2011
推荐引用方式 GB/T 7714	Wenyan Chen,Shutao Li,Fucang Jia,et al. Segmentation of hippocampus based on ROI atlas registration[C]. 见:2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011. Guangzhou, China.

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