一种基于小波变换和非线性分段函数的DSA图像增强算法

The DSA image enhancement algorithm based on wavelet transform and nonlinear piecewise function

DSA是一种重要的医学诊断和介入治疗的技术,DSA图像质量对于医生确定病情具有重要意义。现提出了一种新的DSA图像增强算法来提高DSA图像的质量,即对图像进行前期去噪,后期增强的方法。在前期采用小波半软阈值函数去噪,提高图像的信噪比;在后期的增强处理中采用分段幂函数变换图像增强算法,从而实现在去除噪声的基础上对图像感兴趣区域进行有效增强,使处理后的DSA图像细节更清晰,便于医生根据图像进行分析诊断。

DSA is one of the important techniques in medical diagnosis and interventional treatment. The quality of DSA images is of great significance for doctors to determine the severity of the disease. In this paper, a new DSA image enhancement algorithm is proposed to improve the quality of DSA image, which is the method of image denoising and enhancement. In the prophase, semi-soft wavelet thresholding is used to remove noise and improve the signal noise ratio （SNR） of the image. In order to enhance the image region of interest based on the removal of noise, the piecewise power function algorithm is proposed, which makes the detail of the processed DSA image more clear and is convenient for doctors to analyze the image of diagnosis.