Tissue evaluation method based on texture analysis, ultrasonic detection equipment and storage medium

By segmenting and stitching ultrasound image blocks, calculating texture parameters, and combining mask data for tissue status evaluation, the accuracy of tissue texture evaluation is solved, the accuracy and reliability of the evaluation is improved, and support for sarcopenia diagnosis and chemotherapy dosage optimization.

CN119693299APending Publication Date: 2025-03-25WUXI HISKY MEDICAL TECH
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Patent Information

Application Number
CN202411606083.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-11
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The prior art is difficult to accurately and effectively perform quantitative evaluation of tissue texture, especially in the quantitative evaluation of muscle content and quality, affecting the optimization of chemotherapy dose.

Method used

By obtaining the ultrasonic image of the area to be tested, segmenting it into multiple image blocks, calculating the texture parameters of each image block, performing stitching processing, extracting the texture parameters of the target tissue in combination with the mask data, and evaluating based on the preset tissue state evaluation model.

Benefits of technology

The accuracy and reliability of the target tissue texture analysis results are improved, providing a basis for the early diagnosis of sarcopenia, and providing strong support for tissue status assessment through quantitative, objective and non-invasive ultrasound technology.

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Abstract

The invention provides a texture analysis-based tissue state evaluation method, ultrasonic detection equipment and a storage medium. The method comprises the following steps: acquiring a first ultrasonic image and mask data of a to-be-detected region; segmenting the first ultrasonic image into a plurality of image blocks; obtaining a parameter value of a texture parameter corresponding to each image block according to the gray information of each pixel point in each image block; splicing the plurality of image blocks according to the parameter values of the texture parameters corresponding to the plurality of image blocks to obtain a spliced image; according to the mask data and the parameter value of the texture parameter corresponding to the pixel point in the spliced image, obtaining the parameter value of the texture parameter corresponding to the target tissue; based on a tissue state evaluation model, according to the parameter value of the texture parameter corresponding to the target tissue, obtaining a first index value of a tissue state evaluation index; and obtaining a state evaluation result of the target organization according to the first index value of the organization state evaluation index.
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