Heart ultrasound image vision enhancement method and system

By calculating the structural similarity and two-dimensional entropy of the heart ultrasound image, selecting the reference image and the target search window, and enhancing it pixel by pixel, solving the problem of poor enhancement effect of the existing technology center ultrasound image, and achieving a more obvious image Quality improvement.

CN119130816AActive Publication Date: 2024-12-13HENAN UNIV OF CHINESE MEDICINE
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Patent Information

Application Number
CN202411189740.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-28
Publication Date
2024-12-13
Estimated Expiration
2044-08-28

AI Technical Summary

Technical Problem

The existing cardiac ultrasound image enhancement methods are not effective, and it is difficult to effectively improve image quality, which affects doctors' decisions on the diagnosis and treatment of heart disease.

Method used

By acquiring the cardiac ultrasound image to be enhanced and its left and right adjacent images, calculating the structural similarity and two-dimensional entropy, selecting the reference image, and determining the neighborhood block and search window according to the non-local mean filtering method, enhancing it by pixel, combining with The information in the target search window is enhanced image.

Benefits of technology

It significantly improves the quality of cardiac ultrasound images, and the enhancement effect is more obvious, helping doctors make more accurate diagnosis and treatment decisions.

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Abstract

The invention provides a cardiac ultrasound image vision enhancement method and system, and the method comprises the steps: calculating the structural similarity between a to-be-enhanced cardiac ultrasound image and a left-right adjacent cardiac ultrasound image, and calculating the two-dimensional entropy of the to-be-enhanced cardiac ultrasound image and the two-dimensional entropy of the left-right adjacent cardiac ultrasound image; selecting at least one reference image from the left and right adjacent cardiac ultrasound images according to the structural similarity and the two-dimensional entropy; obtaining a target search window according to the similarity with the reference image neighborhood block, the similarity with the search window and the distance between the reference image where the search window is located and the cardiac ultrasound image to be enhanced; and obtaining the value of the enhanced pixel point according to the target search window, the neighborhood block of the cardiac ultrasound image to be enhanced and the search window. According to the method, the own image is considered in heart ultrasound image enhancement, and the heart ultrasound image is enhanced according to the adjacent image, so that the enhancement effect is more obvious.
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Citation Information

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