Wavelet transform-based photoacoustic time-frequency spectral analysis for bone assessment

This study explores using photoacoustic time-frequency spectral analysis (PA-TFSA) to assess bone mineral density (BMD) and bone structure. Simulations and experiments were performed on bone samples with varying BMDs and mean trabecular thickness (MTT). The osteoporotic bone samples with lower BMD and thinner MTT have higher frequency components. The midband-fit and slope parameters derived from the analysis were found to be sensitive to BMD, enabling differentiation between osteoporotic and normal bones.

• 1
  Osteoporotic bone samples with lower BMD and thinner MTT exhibit higher frequency components in PA-TFSA.
• 2
  Osteoporotic bone samples show lower acoustic frequency attenuation over time, resulting in higher y-intercept, midband-fit, and slope values.
• 3
  The midband-fit and slope parameters are sensitive to BMD and can effectively distinguish between osteoporotic and normal bones (p < 0.05).