Statistic Model of the Spine in Three-Dimension Geometry

摘要：

The study of the statistic model of the spine in three-dimension (3-D) geometry aims to provide a scientific basis for the spine and vertebra related medical surgery. In this paper, we adopt the Active Sharpe Model (ASM) to build a spinal statistical model. That is, we first locate and mark the feature points of the three-dimensional reconstructed medical Computed Tomography images, so as to obtain the shape matrix of each spine sample. Second, we align and register the shape matrix in the sample set with Iterative Closest Point (ICP). Third, we train the samples with Principal Component Analysis (PCA) and build the spinal statistical model in 3-D geometry. Finally, we evaluate the proposed model.

关键词： Spine Active Shape Model Three-dimensional Model Principal Component Analysis

作者: DAIJun YU Bin WANG Ying

作者单位: School of Computer Science and Technology Xidian University Xian, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 66-70

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）