Published by Patrick Mutisya · 14 days ago
Define the specific acoustic impedance of a medium as
\$Z = \rho c\$
where ρ is the density of the medium and c is the speed of sound in that medium.
Ultrasound refers to sound waves with frequencies above the upper limit of human hearing (typically > 20 kHz). In medical and industrial applications the frequencies are usually in the range 1 MHz – 20 MHz, giving wavelengths of a few millimetres to a few centimetres.
The specific acoustic impedance Z of a medium quantifies how much resistance the medium offers to the passage of a sound wave. It is defined as
\$Z = \rho c\$
where:
When an ultrasonic wave encounters a boundary between two media with different impedances, part of the wave is reflected and part is transmitted. The reflection coefficient for intensity is
\$R = \left(\frac{Z2 - Z1}{Z2 + Z1}\right)^2\$
and the transmission coefficient is T = 1 - R. Matching impedances (e.g., using a coupling gel) maximises transmitted energy, which is crucial for clear images.
| Medium | Density ρ (kg m⁻³) | Speed of sound c (m s⁻¹) | Impedance Z = ρc (Rayl) |
|---|---|---|---|
| Air (20 °C) | 1.2 | 343 | ≈ 0.4 × 10³ |
| Water (20 °C) | 998 | 1482 | ≈ 1.48 × 10⁶ |
| Human muscle | 1050 | 1580 | ≈ 1.66 × 10⁶ |
| Human bone | 1900 | 4080 | ≈ 7.75 × 10⁶ |
| Aluminium | 2700 | 6320 | ≈ 1.71 × 10⁷ |
Calculate the impedance of soft tissue with ρ = 1050 kg m⁻³ and c = 1540 m s⁻¹.
\$Z = (1050\;\text{kg m}^{-3})(1540\;\text{m s}^{-1}) = 1.617 \times 10^{6}\;\text{Rayl}\$
If the wave travels from soft tissue into bone (Z₁ = 1.62 × 10⁶ Rayl, Z₂ = 7.75 × 10⁶ Rayl), the intensity reflection coefficient is
\$R = \left(\frac{7.75-1.62}{7.75+1.62}\right)^2 \approx 0.46\$
Thus about 46 % of the incident intensity is reflected at the tissue‑bone interface.
Understanding the specific acoustic impedance \$Z = \rho c\$ is fundamental to both the generation and effective use of ultrasound. Impedance mismatches dictate how much of the ultrasonic energy is reflected or transmitted at interfaces, influencing image quality in medical diagnostics and the sensitivity of industrial inspections.