激光生物学报2024，Vol.33Issue(1)：40-47,8.DOI:10.3969/j.issn.1007-7146.2024.01.005
基于HIFU回波信号和多尺度模糊熵的生物组织变性识别研究
Identification of Tissue Damage Based on HIFU Echo and Multiscale Fuzzy Entropy
摘要
Abstract
To address the monitoring problem in high-intensity focused ultrasound(HIFU)therapy,a new method is proposed for identification of tissue damage without the need for additional monitoring sources.The method involves studying the multi-scale fuzzy entropy(MFE)of the fundamental and second harmonic of the HIFU echo.The HIFU echo signal is denoised using spectral subtraction,and then the fundamental and second harmonic components of the signal are extracted using the kullback-leibler divergence-optimized variational mode decomposition(KLD-VMD)method.Finally,the MFE combining the funda-mental and second harmonic is used to identify tissue damage.The validity of the method is verified using the equal error rate(EER),where a lower EER indicates better recognition.The study also compares the KLD-VMD method with other decomposi-tion methods such as VMD,EMD,and ITD,in combination with MFE for tissue damage identification.The experimental results demonstrate that the tissue damage identification based on KLD-VMD and MFE achieves an EER of 5.1%,which is better com-pared to the other methods.Furthermore,the results also show that combining the fundamental and second harmonics improves the identification performance compared to using either echo alone.This study provides a new monitoring method for HIFU therapy with potential practical applications.关键词
HIFU回波信号/优化变分模态分解/多尺度模糊熵/生物组织损伤识别/肿瘤治疗方式Key words
HIFU echo/optimized variational mode decomposition/multiscale fuzzy entropy/identification of biotissue damage/tumor treatment methods分类
信息技术与安全科学引用本文复制引用
李昂,翟锦涛,刘泽昊,邹孝,钱盛友..基于HIFU回波信号和多尺度模糊熵的生物组织变性识别研究[J].激光生物学报,2024,33(1):40-47,8.基金项目
国家自然科学基金项目(12274200,11774088) （12274200,11774088）
湖南省教育厅优秀青年基金项目(22B0003) （22B0003）
长沙市自然科学基金项目(kq2202239). （kq2202239）
