In the past years, the prevalence of neurodegenerative diseases has increased, highlighting the urgent need to better understand and combat these diseases. Innovative ultrasound treatments have shown promising results but require further investigation, particularly regarding the penetration of acoustic waves into the brain. This work focus on developing a hydrophone to study acoustic wave penetration in biological tissue, combining computational simulations and experimental testing. The hydrophone design was optimized for accurate measurements of wave interactions with tissue, and experiments using gelatine and biological tissue samples validated its performance. The results show the hydrophone’s potential to measure acoustic wave interactions in heterogeneous tissues, providing a foundation for optimizing therapeutic ultrasound in neurodegenerative diseases. Further refinements are needed to improve accuracy in more complex conditions.

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Development of a Hydrophone for Measuring the Propagation of Acoustic Waves in Biological Tissues

  • Anabela Pereira,
  • Vanessa F. Cardoso,
  • Marcos Martins,
  • Nuno A. T. C. Fernandes,
  • Óscar Carvalho

摘要

In the past years, the prevalence of neurodegenerative diseases has increased, highlighting the urgent need to better understand and combat these diseases. Innovative ultrasound treatments have shown promising results but require further investigation, particularly regarding the penetration of acoustic waves into the brain. This work focus on developing a hydrophone to study acoustic wave penetration in biological tissue, combining computational simulations and experimental testing. The hydrophone design was optimized for accurate measurements of wave interactions with tissue, and experiments using gelatine and biological tissue samples validated its performance. The results show the hydrophone’s potential to measure acoustic wave interactions in heterogeneous tissues, providing a foundation for optimizing therapeutic ultrasound in neurodegenerative diseases. Further refinements are needed to improve accuracy in more complex conditions.