Abstract
For accurate evaluation of high intensity focused ultrasound (HIFU) treatment effect, it is of great importance to effectively judge whether the sampled signal is the HIFU echo signal or the noise signal. In this paper, a judgment method based on an auto-regressive (AR) model and spectrum information entropy is proposed. In total, 188 groups of data are obtained while the HIFU source is on or off through experiments, and these sampled signals are judged by this method. The judgment results of this method are compared with empirical judgments. It is found that when the segment number for the power spectrum estimated by AR model is 14 to 17, the judgment results of this method have a higher consistency with empirical judgments, and Accuracy, Sensitivity and Specificity all have good values. Moreover, after comparing and analyzing this method with the classic power spectrum estimation method, it is found that the recognition rate of the two sampled signals of this method is higher than that of the classic power spectrum estimation method. Therefore, this method can effectively judge the different types of sampled signals.
Highlights
High intensity focused ultrasound (HIFU) treatment is regarded as one of the most promising cancer treatment technologies in the 21st century due to its high penetration and non-invasiveness [1,2,3]
It can be seen that the average power spectrum information entropy of the HIFU echo signals under each segment number are greater than that of the noise signals, and there is a certain degree of differentiation
A judgment method based on AR model and spectrum information entropy for HIFU echo signal was proposed
Summary
High intensity focused ultrasound (HIFU) treatment is regarded as one of the most promising cancer treatment technologies in the 21st century due to its high penetration and non-invasiveness [1,2,3]. Its principle is to use ultrasonic energy to focus on the tumor tissues, the tumor tissues absorb the ultrasonic energy, and the temperature rapidly increases to above 65 ◦ C in a short time, which results in coagulative necrosis of cells and achieves the purpose of killing the tumor tissues [4,5,6] It has no obvious effect on the tissues outside the focus [7]. Many researchers studied ultrasonic echo signals and extracted parameters that could accurately reflect the characteristics of the tissues, such as ultrasonic attenuation coefficient, sound velocity and entropy [9,10,11]. Model and spectrum information entropy is proposed to judge the HIFU echo signal The consistency between this method and empirical judgment is compared, and the segment number for power spectrum is analyzed and discussed. The optimal segment number is determined, and the advantages of this method are verified by comparing with the classic power spectrum estimation method
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