一种新的前后向扩散血管图像增强方法

Novel Vessel Image Enhancement Method with Forward and Backward Diffusion

提出一种新的血管图像去噪和锐化方法。在对血管多尺度分析的基础上,利用血管响应函数替代梯度,构建血管的一致性扩散系数。该扩散系数包含前向和后向扩散操作,在去除图像噪声的同时,可以锐化血管。在合成图像、肺小血管图像上进行仿真实验,结果表明,该方法适用于模糊的医学血管噪声图像,不仅能较好地去除噪声,而且能锐化血管边缘。

A new method of vessel image enhancement is presented. Based on the multi-scale image analysis of vessel image, the vascular response function instead of gradient is applied to construct a vessel image diffusion coefficient. The constructed diffusion coefficient contains Forward and Backward（FAB） diffusion operation. While de-noising the image, it also sharpens the edge of the vessel image. Experiments on synthesis image and pulmonary image describe the performance of the method. This new method has a better result in image restoration than conventional diffusion methods.