A-Mode Ultrasound Bladder Volume Estimation Algorithm Based on Wavelet Energy Ratio Adaptive Denoising.

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Urology

Background:

• Accurate bladder volume assessment is crucial for urological health monitoring.
• Existing portable bladder volume devices lack precision.
• Novel solutions are needed to improve accuracy and usability.

Purpose of the Study:

• To develop and validate a novel A-mode ultrasound-based algorithm for portable bladder volume estimation.
• To enhance the accuracy and usability of portable bladder monitoring devices.
• To address the limitations of current portable bladder assessment tools.

Main Methods:

• Developed a wavelet energy ratio adaptive denoising method to improve signal-to-noise ratio.
• Utilized ultrasonic echoes to determine bladder wall positions.
• Applied the least squares method to fit an ellipsoid for volume calculation.
• Validated the algorithm using a simulation experiment on a porcine bladder.

Main Results:

• The algorithm demonstrated significant improvement in signal-to-noise ratio.
• Bladder volume estimation error was approximately 8.3% in simulation experiments.
• The method successfully preserved critical signal details.

Conclusions:

• The developed algorithm offers a viable solution for accurate portable bladder volume estimation.
• This technology enhances the usability and precision of portable urological monitoring devices.
• The study shows significant potential for clinical applications in urological health.