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中文核心期刊

Volume 49 Issue 3
May  2024
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WANG Chong, ZHU Yunkai, DONG Qi, LI Boyi, FENG Ting, LI Ying, CHEN Yaqing, TA De'an. Evaluation of chronic prostatitis in rats based on photoacoustic spectrum analysis[J]. ACTA ACUSTICA, 2024, 49(3): 424-430. DOI: 10.12395/0371-0025.2024049
Citation: WANG Chong, ZHU Yunkai, DONG Qi, LI Boyi, FENG Ting, LI Ying, CHEN Yaqing, TA De'an. Evaluation of chronic prostatitis in rats based on photoacoustic spectrum analysis[J]. ACTA ACUSTICA, 2024, 49(3): 424-430. DOI: 10.12395/0371-0025.2024049
shu

Evaluation of chronic prostatitis in rats based on photoacoustic spectrum analysis

  • 1.

    Department of Biomedical Engineering, School of Information Science and Technology, Fudan University　Shanghai　200438

  • 2.

    School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University　Shanghai　200092

  • 3.

    Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University　Shanghai　200433

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  • PACS: 
    • 43.35  (Ultrasonics, quantum acoustics, and physical effects of sound)
    • 43.60  (Acoustic signal processing)
  • Received Date: January 30, 2024
  • Revised Date: March 19, 2024
  • Available Online: May 08, 2024
    Graphical Abstract
    • Abstract

  • 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.

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    • References (27)
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