Statistical Atlases of Human Anatomy and Computer Assisted Diagnostic System
In this paper, we report our current progress results on computer assisted diagnostic (CAD) system, which consists of three units: database unit (statistical atlas of human anatomy),image processing unit (image enhancement, image segmentation,image registration), and visualization unit (volume rendering). In the database unit, we proposed a new method called generalized N-dimensional principal component analysis (GND-PCA) for statistical volume atlas. Not only the shape variations but also the intensity (CT value) variations can be modeled by the use of GND-PCA. In the processing unit, we proposed a new liver segmentation method from low contrast CT volumes and developed an interactive visualization system for liver and its vascular structure in the visualization unit.
Stat5stical Atlas:Volume Generalized N-dimensional principal component analysis(GND-PCA) Liver segmentation:Vessel extraction
Yen-Wei Chen Tomoko Tateyama Amir H. Foruzan F. Babapour Mofrad Xu Qia0 Akira Furukawa
Electronics & Inf. Eng. School. Central South Univ. of Forestry and Tech., Changsha, China;College o College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan;College of Engi Department of Radiology, Shiga University of Medical Science. Shiga, Japan
国际会议
成都
英文
674-679
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）