MR image denoising method for brain surface 3D modeling

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...

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Bibliographic Details
Published inOptoelectronics letters Vol. 10; no. 6; pp. 477 - 480
Main Author 赵德新 刘朋杰 张德干
Format Journal Article
LanguageEnglish
Published Heidelberg Tianjin University of Technology 01.11.2014
Subjects
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
三维建模
三角网格模型
医学图像
去噪方法
图像去噪
大脑
表面
Peak Signal Noise Ratio
Triangle Mesh
Wavelet Coefficient
Mean Square Error
Wavelet Domain
Online AccessGet full text
ISSN1673-1905
1993-5013
DOI10.1007/s11801-014-4105-8

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Summary: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.
Bibliography:12-1370/TN
ZHAO De-xin , LIU Peng-jie , and 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）
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.
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-014-4105-8