Nonlinear decorrelation fusion ultrasonic multi-parameter thermal coagulation detection and imaging method

Abstract

Non-linear decorrelation fusion ultrasonic multi-parameter thermal coagulation detection and imaging method, (1), collect multi-beam pulse inversion ultrasonic radio frequency signals and store imaging parameters during thermal ablation; (2), construct a bandpass based on radio frequency signals and imaging parameters The filter extracts the harmonic components of the signal, and obtains the pulse inversion harmonic signal matrix; (3), select the appropriate mother wavelet to perform correlation analysis on all the sampling lines of the pulse inversion harmonic signal matrix, and extract the correlation coefficient under the maximum correlation scale to construct a nonlinear Decorrelate the two-dimensional correlation coefficient matrix; (4) perform ultrasonic multi-parameter estimation on the correlation coefficient matrix, and construct an ultrasonic multi-parameter thermal coagulation identification image based on the ultrasonic B-mode image; the invention aims to extract and enhance the ultrasonic thermal coagulation region. Non-linear features can suppress background tissue information, effectively improve the detection accuracy, sensitivity and imaging quality of thermal coagulation, and improve the accuracy of ultrasonic monitoring and identification.

Description

technical field [0001] The invention relates to the technical field of ultrasonic data processing and imaging, in particular to a non-linear decorrelation ultrasonic radio frequency signal processing and thermal coagulation detection and imaging method integrating ultrasonic multi-parameters. Background technique [0002] Thermal ablation technology is an important method for clinical minimally invasive treatment of solid tumors. It can rapidly heat up local tissues through energy conversion, thereby achieving the purpose of thermal coagulation and necrosis of tumor cells. Needle guidance during thermal ablation, intraoperative monitoring and postoperative evaluation all require imaging assistance to improve surgical efficiency, safety, and reduce the possibility of tumor recurrence. Traditional ultrasound imaging B-mode, referred to as B-mode ultrasound, has been widely used in clinical imaging detection due to its advantages of non-invasiveness, portability, low cost, and ...

AI Technical Summary

Problems solved by technology

Clinically, ultrasonic B-mode imaging is commonly used to monitor thermal coagulation, but this method often adopts a single pulse emission fundamental wave imaging mode, which cannot highlight this nonlinear feature, and thus cannot provide high-resolution, high-contrast, and high-accuracy imaging target detection results

In addition, B-ultrasound images are susceptible to images such as air bubbles and acoustic artifacts, which affect the accurate diagnosis of thermal coagulation areas

At present, there are methods for extracting acoustic parameters from ultrasonic backscatter signals to identify thermal coagulation, including backscatter integrals, attenuation coefficients, ultrasonic Nakagami parameters, ultrasonic homodyne k-distribution parameters, etc. Although these methods can be used to a certain extent Improve the accuracy of thermal coagulation identification, but still ignore the nonlinear characteristics of the thermal coagulation area, resulting in the loss of imaging contrast, so it is necessary to develop an imaging technology that can extract and highlight the nonlinear information of the thermal coagulation area and integrate ultrasonic parameters

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