Artifact Suppressed Nonlinear Diffusion Filtering for Low-Dose CT Image Processing
Artifact Suppressed Nonlinear Diffusion Filtering for Low-Dose CT Image Processing
复制标题
用于低剂量 CT 图像处理的伪影抑制非线性扩散滤波
DOI：
10.1109/access.2019.2933541
复制
发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Gui, Zhiguo
中科院分区：
文献类型：
--
作者：
Liu, Yi;Chen, Yang;Gui, Zhiguo
使用低剂量协议的计算机断层扫描（CT）图像通常具有严重的斑点噪声和条纹伪影。在本文中，我们提出了一种新的扩散方法命名为“伪影抑制非线性扩散滤波（ASNDF），”处理低剂量CT（LDCT）图像。与其他扩散滤波方法不同的是，该方法不仅以图像梯度作为构造扩散系数函数的主要线索，而且还结合了待扩散图像和相邻两次扩散之间残差图像的局部方差。具体地说，首先进行经典PM扩散以获得初始残差图像，然后从第二次迭代开始，根据ASNDF处理对LDCT图像进行处理。仿真数据、临床数据和大鼠数据的实验结果表明，该方法在伪影抑制和结构保留方面有了明显的改善，为当前大多数CT系统的LDCT图像处理提供了一种可行的方法。
Computed tomography (CT) images with a low-dose protocol generally have severe mottle noise and streak artifacts. In this paper, we propose a novel diffusion method named "artifact suppressed nonlinear diffusion filtering (ASNDF)," to process low-dose CT (LDCT) images. Different from other diffusion filtering methods, the proposed ASNDF not only includes image gradient as the main cue to construct a diffusion coefficient function, but also incorporates the local variances of image to be diffused and residual image between two adjacent diffusions. In detail, the classical PM diffusion is first performed to get the initial residual image, and then from the second iteration, the LDCT image is processed according to the ASNDF processing. Simulated data, clinical data and rat data are conducted to evaluate the proposed method, and the comparison experiments with other competing methods show that the proposed ASNDF method makes an improvement in artifact suppression and structure preservation, and offers a sound alternative to process LDCT images from most current CT systems.