Medical ultrasonic image de-noising method based on normal inverse Gaussian model

Abstract

The invention discloses a medical ultrasonic image de-noising method based on a normal inverse Gaussian model. The method comprises the following steps of 1), collecting an envelope signal of a noise image by means of a noise imaging system, and establishing a medical ultrasonic image model; 2), performing multidirectional decomposition on the medical ultrasonic image model after logarithmic transformation by means of a pyramid filter set; 3), performing threshold method adaptive contraction processing on a two-dimensional discrete shearlet transformation coefficient of a high-frequency part in each sub-band image; 4), performing filtering on the shearlet coefficient of the low-frequency part in the step 2) by means of a three-side filter; and 5), performing shearlet inverse transformation processing on all coefficients after processing of the step 3) and the step 4), thereby obtaining the medical ultrasonic image after de-noising. The medical ultrasonic image de-noising method can well restrain spot noise and furthermore can facilitate a doctor in performing disease condition analysis.

Description

technical field [0001] The invention relates to a method for denoising medical ultrasonic images based on a normal inverse Gaussian model. The invention belongs to the field of medical ultrasonic image denoising, especially a shearlet transform medical image denoising method based on a normal inverse Gaussian model suitable for medical ultrasonic images. Background technique [0002] With the development of science and technology, in the field of medical imaging, imaging technologies such as ultrasound imaging, CT, and MRI have been applied in medical clinical diagnosis. Due to the rapid development of ultrasound imaging technology due to its advantages of high resolution, simple operation, instantaneity, etc., it has the characteristics of non-invasive, no radiation damage, fast and convenient, and has become a widely used and highly safe medical diagnostic technology. Especially for the examination of human body organs and tumor tissue, the use of ultrasound imaging techn...

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Problems solved by technology

[0012] The purpose of the present invention is to provide a medical ultrasonic image denoising method based on a normal inverse Gaussian model. On the one hand, the present invention improves the Laplace model based on a generalized Gaussian distribution, and proposes a new normal inverse Gaussian model. This model solves the problem of missing too many high-frequency coefficients. Based on this model, the shearlet transformation of multi-scale and multi-directional decomposition is carried out. At the same time, a new adaptive shrinkage algorithm is also proposed to improve the denoising effect; another On the one hand, the present invention utilizes the trilateral filter to filter the low-frequency part, and solves the gradient distortion problem of the bilateral filter

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