MR image denoising method for brain surface 3D modeling  

作　　者：赵德新 刘朋杰 张德干 

机构地区：[1]Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology

出　　处：《Optoelectronics Letters》2014年第6期477-480,共4页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61202169);the Tianjin Key Natural Science Foundation(No.13JCZDJC34600);the China Scholarship Council(CSC)Foundation(No.201308120010);the Training Plan of Tianjin University Innovation Team(No.TD12-5016)

摘　　要：Three-dimensional(3D) modeling of medical images is a critical part of surgical simulation. In this paper, we focus on the magnetic resonance(MR) images denoising for brain modeling reconstruction, and exploit a practical solution. We attempt to remove the noise existing in the MR imaging signal and preserve the image characteristics. A wavelet-based adaptive curve shrinkage function is presented in spherical coordinates system. The comparative experiments show that the denoising method can preserve better image details and enhance the coefficients of contours. Using these denoised images, the brain 3D visualization is given through surface triangle mesh model, which demonstrates the effectiveness of the proposed method.

关 键 词：Magnetic resonance Magnetic resonance imaging Medical imaging Three dimensional computer graphics Wavelet analysis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] P631.443[自动化与计算机技术—计算机科学与技术]