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基于光声谱分析的大鼠慢性前列腺炎评价

Evaluation of chronic prostatitis in rats based on photoacoustic spectrum analysis
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摘要 探究了使用光声谱参数评价慢性前列腺炎的可行性。通过对大鼠注射弗氏完全佐剂构建大鼠慢性前列腺炎症模型,使用光声显微仪器扫描前列腺组织切片获取原始光声信号。计算信号的功率谱参数(斜率、截距、平均谱功率和频谱质心偏移量),对获得的谱参数进行了分析统计和参数成像,并讨论了不同频带的选择对评价结果的影响。实验结果表明,炎症组织与正常组织谱参数的统计结果和成像结果均存在显著性差异,使用频谱质心偏移量(SCS)成像可以区分炎症组织和正常组织,且在带宽固定的情况下,斜率参数和平均谱功率参数分别在高频谱段和低频谱段成像结果清晰,不同频带对截距参数成像的影响较小。 The feasibility of using photoacoustic spectral parameters to evaluate chronic prostatitis is explored.A chronic prostatitis model in rats was established by injecting Freund’s complete adjuvant.Prostate tissue sections were scanned using a photoacoustic microscopy instrument to acquire raw photoacoustic signals.Spectral parameters of the signals(slope,intercept,average spectral power,spectral centroid shift)were calculated,analyzed,and statistically evaluated,followed by parameter imaging.The influence of selecting different frequency bands on the evaluation results was also discussed.Experimental results indicate significant differences in the statistical and imaging results of spectral parameters between inflammatory and normal tissues.Imaging using spectral centroid shift(SCS)can differentiate between inflammatory and normal tissues.Moreover,under fixed bandwidth conditions,the slope parameter and average spectral power parameter yield clear imaging results in the high-frequency and low-frequency spectral ranges,respectively,with minimal influence of different frequency bands on the imaging of the intercept parameter.
作者 王憧 朱云开 董琪 李博艺 封婷 李颖 陈亚青 他得安 WANG Chong;ZHU Yunkai;DONG Qi;LI Boyi;FENG Ting;LI Ying;CHEN Yaqing;TA De'an(Department of Biomedical Engineering,School of Information Science and Technology,Fudan University,Shanghai 200438;School of Medicine,Xinhua Hospital Affiliated to Shanghai Jiao Tong University,Shanghai 200092;Institute of Biomedical Engineering and Technology,Academy for Engineering and Technology,Fudan University,Shanghai 200433)
出处 《声学学报》 EI CAS CSCD 北大核心 2024年第3期424-430,共7页 Acta Acustica
基金 国家自然科学基金项目(82127803,12374433) 上海市“科技创新行动计划”基金项目(21y11911000)资助。
关键词 光声显微 光声谱分析 前列腺炎 组织表征 Photoacoustic microscopy Photoacoustic spectrum analysis Prostatitis Tissue characterization
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