ZHAO De-xin,LIU Peng-jie,ZHANG De-gan.MR image denoising method for brain surface 3D modeling[J].Optoelectronics Letters,2014,10(6):477-480 MR image denoising method for brain surface 3D modeling Author Name Affiliation ZHAO De-xin  Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China  LIU Peng-jie  Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China  ZHANG De-gan  Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China  Abstract:       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. Hits: 3880 Download times: 0 This work has been 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), and the Training Plan of Tianjin University Innovation Team (No.TD12-5016). View Full Text    Download reader