中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local Patch Similarity Ranked Voxelwise STAPLE on Magnetic Resonance Image Hippocampus Segmentation

文献类型:期刊论文

作者Yuan Li; Fu Cang Jia; Xiao Dong Zhang; Cheng Huang; Huo Ling Luo
刊名Applied Mechanics and Materials,
出版日期2013
英文摘要The segmentation and labeling of sub-cortical structures of interest are important tasks for the assessment of morphometric features in quantitative magnetic resonance (MR) image analysis. Recently, multi-atlas segmentation methods with statistical fusion strategy have demonstrated high accuracy in hippocampus segmentation. While, most of the segmentations rarely consider spatially variant model and reserve all segmentations. In this study, we propose a novel local patch-based and ranking strategy for voxelwise atlas selection to extend the original Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm. The local ranking strategy is based on the metric of normalized cross correlation (NCC). Unlike its predecessors, this method estimates the fusion of each voxel patch-by-patch and makes use of gray image features as a prior. Validation results on 33 pairs of hippocampus MR images show good performance on the segmentation of hippocampus.
收录类别SCI
原文出处http://www.scientific.net/AMM.333-335.1065
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4857]  
专题深圳先进技术研究院_医工所
作者单位Applied Mechanics and Materials,
推荐引用方式
GB/T 7714
Yuan Li,Fu Cang Jia,Xiao Dong Zhang,et al. Local Patch Similarity Ranked Voxelwise STAPLE on Magnetic Resonance Image Hippocampus Segmentation[J]. Applied Mechanics and Materials,,2013.
APA Yuan Li,Fu Cang Jia,Xiao Dong Zhang,Cheng Huang,&Huo Ling Luo.(2013).Local Patch Similarity Ranked Voxelwise STAPLE on Magnetic Resonance Image Hippocampus Segmentation.Applied Mechanics and Materials,.
MLA Yuan Li,et al."Local Patch Similarity Ranked Voxelwise STAPLE on Magnetic Resonance Image Hippocampus Segmentation".Applied Mechanics and Materials, (2013).

入库方式: OAI收割

来源:深圳先进技术研究院

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