Jun 10 – 12, 2024
Centrum Wiskunde & Informatica
Europe/Amsterdam timezone

Determine power law parameters for ultrasound attenuation imaging

Jun 12, 2024, 10:40 AM
20m
Eulerzaal (Centrum Wiskunde & Informatica)

Eulerzaal

Centrum Wiskunde & Informatica

Centrum Wiskunde & Informatica Science Park 123 1098 XG Amsterdam

Speaker

Clemens Feucht (Karlsruhe Institute of Technology)

Description

Ultrasound attenuation maps are an important imaging modality of medical ultrasound tomography. Many approaches however only put focus on the attenuation at a specific or dominant frequency with small bandwidth or the broad band attenuation of a signal with large bandwidth. Yet, attenuation by tissue is typically considered to be frequency dependent. In the literature this is modelled linearly or with a power law (Attenuation = $ a \cdot f^y$ in $\mathrm{\frac{dB}{cm}}$, where $a$ is attenuation coefficient in $\mathrm{\frac{dB}{MHz^y \cdot cm}}$, $f$ is frequency in $\mathrm{MHz}$ and $\mathrm{y}$ is attenuation exponent).

Using the approach of the power law attenuation, we developed a method to determine the according parameters (a and y) from measured data of KIT’s 3D USCT III with broadband signals (0.5-5 MHz). The individual broadband attenuation signals are being windowed and transformed into the Fourier domain to calculate an attenuation value for sub-bands of the available bandwidth. Subsequently an attenuation map is reconstructed for each sub-band. These attenuation maps are used to perform a parameter fit for each voxel to determine the two parameters a and y.

The method has been applied successfully on simulated 3D data using a ray based simulation suite to validate the approach (RMSE of a = 0.294 $\mathrm{\frac{dB}{MHz^y \cdot cm}}$, RMSE of y = 1.361). Furthermore the k-wave toolbox has been used to test the concept with 2D simulated data (RMSE of a = 0.0316 $\mathrm{\frac{dB}{MHz^y \cdot cm}}$, RMSE of y = 0.2197). In addition results with experimental data will be presented.

Primary author

Clemens Feucht (Karlsruhe Institute of Technology)

Co-authors

Torsten Hopp (Karlsruhe Institute of Technology) Ms Eileen Wenger (Karlsruhe Institute of Technology) Nicole Ruiter (Karlsruhe Institute of Technology)

Presentation materials

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