Method for extracting temperature information in ultrasonic radio frequency signal based on convolutional neural network

Abstract

The invention discloses a method for extracting temperature information in an ultrasonic radio frequency signal based on a convolutional neural network. The method comprises the steps that the collected radio frequency signal is divided into multiple areas, and area temperature characteristics are obtained to reduce the influence of the 'thermoacoustic lens effect' and the 'sound shielding' effect on an ultrasonic echo signal behind a treatment area; the temperature information is obtained from the ultrasonic radio frequency signal by adopting an algorithm of the convolutional neural network, the problem that the 'thermoacoustic lens effect' and the 'sound shielding' effect generate images on the ultrasonic echo signal behind the treatment area is solved, and the accuracy and stability of temperature measurement are improved; the temperature information of tissue in the ultrasonic images during ablation can be obtained in real time by using a non-interventional mode, and the problem that the tissue in an ablation area needs to be accurately measured during tumor thermal ablation is effectively solved; and in addition, the real-time performance and display mode of temperature measurement also meet the purpose of monitoring the ablation condition of a target lesion during ultrasonic interventional ablation.

Description

technical field [0001] The present invention relates to medical ultrasonic radio frequency signal processing and extraction of tissue temperature information expressed in medical ultrasonic radio frequency signals, in particular to the real-time monitoring of tissue temperature during ultrasonic interventional ablation extracted from medical ultrasonic radio frequency signals using convolutional neural network algorithm scheme. Background technique [0002] Focus thermal ablation guided by ultrasound equipment is a minimally invasive or non-invasive physical therapy technique for local tumors. Currently, common treatment methods mainly include radiofrequency ablation, microwave ablation, high-intensity focused ultrasound, and laser ablation. It is very important to monitor the temperature of human target tissue in ablation therapy. At present, in order to achieve accurate ablation of the cancer area, skilled doctors will evaluate the gasification area of ​​the ablation area ...

AI Technical Summary

Problems solved by technology

However, when the temperature of the lesion increases during thermal ablation, the phenomenon of "thermoacoustic lens effect" and "acoustic occlusion" will occur, resulting in changes in the ultrasonic echo signal behind the treatment area.

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