基于偏微分方程的CT图像去噪

A PED Based Method Used to CT Image Noise Reduction

计算计X射线断层技术(CT)广泛应用于医学诊断领域。CT图像噪声的大小直接影响到诊断的质量。对CT图像去噪方法的研究和应用成为了一个十分重要的课题。近年来,偏微分方程(PDE)方法在图像分析处理和计算机视觉领域的应用研究非常活跃。介绍了一种新颖的去噪算法各向异性扩散方法应用于CT图像去噪处理。与偏微分方程(PDE)方法和边界强化扩散(EED)方法相比,各向异性扩散方法对CT图像去噪有良好的效果,更能很好的保持细节。本文最后给出了该算法可能发展的方向和应用前景。

The computer tomography （CT） techniques were widely used in medical diagnosis area. The noise of the CT image directly affects the diagnosing results. Recently, Partial Differential Equations （PDE） based methods were actively applied in image analysis and computer vision field. In this paper, we introduced a novel approach Anisotropic Diffusion （AD） arithmetic using in CT image noise reduction and compared with Partial Differential E- quations （PDE） and Edge Enhancement Diffusion （EED） methods the Anisotropic Diffusion （AD） obtained a very promising results and it can keep the image details better. At the last, the potential developing directions and application foreground of Anisotropic Diffusion method are point out.