A Quantitative Evaluation System for Ultrasonic Images

Abstract

The present invention relates to an ultrasound image quantitative evaluation system, comprising: an image preprocessing module for preprocessing acquired joint ultrasound images; an image segmentation module for image segmentation of joint ultrasound images; a quantitative analysis index extraction module, It is used for quantitative analysis index extraction of joint ultrasound images; the parameter joint analysis module is used for multi-parameter joint analysis of joint ultrasound images. The present invention automatically segments the front and rear walls and internal regions of cartilage on the ultrasonic image, and conducts quantitative analysis on the segmented regions of interest, extracts information related to ultrasonic echo intensity, sound attenuation, cartilage thickness, and scattering sub-statistical distribution. Quantitative analysis indicators, and then use the method of multivariate analysis to comprehensively analyze various indicators, so as to realize the non-invasive and quantitative evaluation of the degree of articular cartilage lesions.

Description

technical field [0001] The invention relates to an ultrasonic image quantitative evaluation system, in particular to an ultrasonic image quantitative evaluation system that can be used to evaluate articular cartilage lesions. Background technique [0002] Osteoarthritis is the most common chronic degenerative joint disease in the elderly. Early identification of osteoarthritis and accurate grading of joint degeneration facilitate timely and appropriate interventions to control disease progression and significantly improve prognosis. Clinically, conventional radiography (CR) is often used to evaluate bone and joint structural changes, but it cannot show soft tissue lesions. Magnetic resonance imaging (MRI) can be used to detect articular cartilage, synovium, meniscus, and soft tissue lesions, but it is expensive, takes a long time to scan, and is insensitive to early cartilage lesions. Ultrasound diagnosis has the advantages of real-time, portable, easy-to-use, and low cost...

AI Technical Summary

Problems solved by technology

However, for clinical ultrasonography, due to the compromise between probe frequency and imaging depth, high-frequency probes used in ex vivo experiments or arthroscopy cannot detect the depth of articular cartilage, so they are not suitable for clinical examination of articular cartilage

Moreover, most of the ultrasound machines currently used in clinical practice cannot provide ultrasound radio frequency data

Therefore, the indicators commonly used in ex vivo experiments and arthroscopy to reflect the microstructural changes of the cartilage surface and the indicators extracted from the frequency spectrum analysis of ultrasound radio frequency data cannot be applied to clinical ultrasound examination.

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