A CT Reconstruction Based on Principal Component Analysis

摘要：

We propose a new CT reconstruction method based on principal component analysis(PCA). The Source image is considered as a linear conbination of basis functions. The basis function is learned by PCA neural network and its coefkients are estimated by heuristic methods. The method has an advantage that it can significantly reduce the parameters to be estimated.

作者: Shinya Nozaki Zensho Nakao Yen-Wei Chen

作者单位: Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus,1 Senbaru, Nishihara, Okinawa, 903-0213, Japan

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1223-1226

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）