Hepatic fibrosis degree relative deviation identification method based on ultrasonic radio frequency (RF) time sequence

Abstract

The invention belongs to the technical field of ultrasonic medicine and particularly relates to a hepatic fibrosis degree relative deviation identification method based on an ultrasonic radio frequency (RF) time sequence. The method includes that first a broadband ultrasonic linear array probe is used for scanning a living hepatic tissue, and multi-frame ultrasonic echo RF signals are recorded; a certain frame of B type pattern is demodulated and displayed, a region of interest (ROI) is selected, all frame RF signals of each point in the ROI are taken to form the ultrasonic RF time sequence; SMR fractal dimension mean values and a plurality of characteristic parameters of the RF time sequence in the ROI are extracted, the 7 features are extracted for a large amount of normal and fibrosis hepatic samples, relative deviation value of each feature parameter is collected and obtained, the normalization relative deviation value is used as the weight of a new input sample corresponding feature parameter, and the absolute value of each feature parameter of a new sample is weighted and summed to obtain Score-rd. The hepatic fibrosis degree quantification identification method based on the RF time sequence is brought up for the first time and provides quantification reference for clinical hepatic fibrosis diagnosis and dynamic monitoring.

Description

technical field [0001] The invention relates to the field of ultrasonic medical research, in particular to a method for identifying the relative deviation of liver fibrosis based on ultrasonic RF time series. Background technique [0002] In Asia, liver fibrosis is a common liver disease. It is a key link in the progression from chronic liver injury to cirrhosis, and it is a necessary stage for various chronic liver diseases to develop into cirrhosis. It is now believed that liver fibrosis may be reversed to normal after treatment, but liver cirrhosis is not. However, the degree of liver fibrosis lacks quantitative and non-invasive diagnostic and monitoring methods, and it is impossible to evaluate the curative effect in time during treatment. In clinical medicine, liver biopsy is currently the gold standard for the diagnosis of liver fibrosis. However, liver biopsy is an invasive examination and should not be repeated, and it is easy to cause other complications. Ultrason...

AI Technical Summary

Problems solved by technology

Ultrasonic B-mode image characterization has the following defects: (1) the brightness modulation is used to display the amplitude information, and the rich phase information is discarded, so that part of the tissue information is lost; (2) the inspection results are affected by the instrument model, instrument settings, etc. effect, poor consistency

This method requires deep attenuation compensation, and the tissue attenuation capabilities of different lesions are different. At the same time, individual differences will also make the sound wave propagation path different, which will seriously affect its classification accuracy.

[0004] In the above ultrasonic tissue characterization, most of the features that can distinguish normal tissue from abnormal tissue are extracted, and samples are classified according to the feature distribution, which is only a qualitative analysis and lacks a quantitative analysis of the degree of liver fibrosis

Images