Medical image denoising and enhancing processing method

Abstract

The invention provides a real-time medical video image denoising method, which is applied to a real-time acquired or stored medical video image sequence. Time-space domain recursive filtering processing is performed on each frame of video image by utilizing high-degree correlation of two adjacent images, and the size of a filter window can be adaptively adjusted according to the noise level. In the method, a time-domain motion compensation method - and a space-domain denoising enhancement algorithm are combined; aimed at the current pixel of the image, the motion compensation method and a morphological operator are applied to detect a motion area, a noise area and a background area, and the overall noise level of the image is estimated in the noise area.

Description

technical field

[0001] The invention relates to a method for noise reduction and enhancement of acquired medical images. Background technique

[0002] There is usually a lot of speckle noise in medical ultrasound B-mode images, which will bring about a significant decline in the quality of ultrasound images and cover up some important tissue lesions, which brings difficulties to doctors' diagnosis and identification of certain specific diseases. There are great difficulties, and there is a risk of missed diagnosis and misdiagnosis.

[0003] The filtering method is usually used to suppress the high-frequency part of the signal, and the useful edge information will be removed while filtering out the noise. Over-smoothing; As a result, some filtering algorithms based on edge preservation have been developed rapidly, such as anisotropic diffusion, BM3D, and nonlocal means and other medical image denoising techniques. This provides a huge space for improving the quality of medi...

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