Representation and Evaluation of Statistical Prediction Powers of Neighboring Organ Shapes for Construction of Multi-Organ Statistical Atlas

摘要：

Representation and evaluation methods for statistically predicting organ shapes from neighboring organ shapes are described. In order to fully utilize the constraints on interrelations of multiple organ shapes, various extents of sub-shapes of organs are considered based on their proximity instead of just using the whole organ shapes. The prediction power are evaluated for various extents of sub-shapes and enhanced by their integration. Experimental results using shape datasets of several organs in the abdominal domain demonstrate the effective of the proposed methods.

关键词： component Computational Anatomy Multi-Organ Atlas Statistical Shape Model

作者: Yasuhide Yoshida. Yen-Wei Chen Futoshi Yokota Toshiyuki Okada Yoshinobu Sato

作者单位: College of Information Science and Engineering Ritsumeikan University 1-1-1 Nojihigashi, Kusatsu-shi Graduate School of Engineering Kobe University l-1 Rokkodai. Nada. Kobe, Hyogo, 657-8501 Japan Medical Center for Translational Research Osaka University Hospital 2-15 Yamadaoka. Suita-shi. Osaka Graduate School of Medicine Osaka University 2-2 Yamadaoka. Suita-shi. Osaka, 565-0871 Japan

会议类型: 国际会议

会议名称: The 2nd International Conference on Software Engineering and Data Mining(IEEE 第二届国际软件工程和数据挖掘学术大会 SEDM 2010)

会议地点: 成都

会议语种:英文

页码: 670-673

在线出版日期: 2010-06-23（万方平台首次上网日期，不代表论文的发表时间）