三维(3D ) 医药图象当模特儿是外科的模拟的关键部分。在这份报纸,我们在磁性的回声(先生) 上集中为为重建建模的大脑降噪的图象,并且利用一个实际答案。我们试图移开在 MR 成像信号存在的噪音并且保存图象特征。基于小浪的适应曲线收缩功能在球形的坐标系统被介绍。比较实验证明降噪的方法能保存更好的图象细节并且提高轮廓的系数。用这些降噪的图象,大脑 3D 可视化通过表面三角网孔模型被给,它表明建议方法的有效性。
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.