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Estimating the ultrasound attenuation coefficient using convolutional neural networks -- a feasibility study. (arXiv:2205.09533v1 [physics.med-ph])
May 20, 2022, 1:10 a.m. | Piotr Jarosik, Michal Byra, Marcin Lewandowski, Ziemowit Klimonda
cs.CV updates on arXiv.org arxiv.org
Attenuation coefficient (AC) is a fundamental measure of tissue acoustical
properties, which can be used in medical diagnostics. In this work, we
investigate the feasibility of using convolutional neural networks (CNNs) to
directly estimate AC from radio-frequency (RF) ultrasound signals. To develop
the CNNs we used RF signals collected from tissue mimicking numerical phantoms
for the AC values in a range from 0.1 to 1.5 dB/(MHz*cm). The models were
trained based on 1-D patches of RF data. We obtained mean …
arxiv convolutional neural networks networks neural networks physics study
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