Muscle ultrasonic elastography optimization method and system

Abstract

The invention discloses a muscle ultrasonic elastography optimization method and system. The method comprises the steps as follows: obtaining elastography data and muscle ultrasonic data in a muscle elasticity ultrasonic video, and determining muscle hardness characteristics and muscle fiber length characteristics according to the elastography data and the muscle ultrasonic data; according to the muscle hardness characteristics and the muscle fiber length characteristics, determining a relation curve of the muscle hardness characteristics and the muscle fiber length characteristics, and generating a goodness-of-fit topographic map; according to the goodness-of-fit topographic map, performing binarization processing on the goodness-of-fit topographic map to obtain a region of interest in the elastography data; and screening and optimizing the muscle hardness characteristics according to a muscle hardness diagram corresponding to the region of interest and the muscle hardness characteristics. According to the muscle ultrasonic elastography optimization method and system, physiological characteristics of muscles subjected to ultrasonic elastography can be fully utilized, the region of interest of muscle ultrasonic elastography is automatically selected, and therefore, noise interference in the muscle ultrasonic elastography is eliminated.

Description

technical field [0001] The invention relates to the technical field of muscle image processing, in particular to an optimization method and system for muscle ultrasound elastography. Background technique [0002] Ultrasound elastography (USE) has been widely used to quantify tissue stiffness in various fields of biomedical engineering. For example, it is gaining popularity in musculoskeletal assessment and research. Few physicians realize, however, that not all muscle ultrasound elastography findings are reliable. Muscle stiffness output from ultrasound elastography can be unintentionally affected by probe or muscle motion, depth of inspection, tissue inhomogeneity, and other factors, leading to the introduction of noise and inhomogeneity in the spatial distribution of stiffness. This problem requires physicians to select a region of interest (ROI) for ultrasound elastography to exclude noise interference before quantifying muscle stiffness. However, manual selection of R...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an optimization method and system for ultrasonic elastography of muscles in view of the above-mentioned defects of the prior art, aiming at solving the problems of the prior art in dealing with the spatial distribution inhomogeneity of ultrasonic elastography, and The spatiotemporal information of elastography is not applied, which leads to the problem that the quantitative results of muscle stiffness are easily disturbed by noise, thus deviating from the true value

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