Cortical Bone Ultrasound Propagation: RF Signal Dataset

Citation Author(s):
Hossam H.
Sultan
London South Bank University
Enrico
Grisan
London South Bank University
Paul
Dryburgh
King's College London
Laura
Peralta
King's College London
Sevan
Harput
London South Bank University
Submitted by:
Hossam Abdelreheem
Last updated:
Thu, 04/04/2024 - 00:52
DOI:
10.21227/bfsg-eq52
Data Format:
**.mat
Research Article Link:
Cortical Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture
License:
Creative Commons Attribution
91 Views
Categories:
Artificial Intelligence
Signal Processing
Biomedical and Health Sciences
Medical Imaging
Keywords:
Artificial Intelligence; Dataset; Ultrasound; Machine Learning; Health; Biomedical and Health Sciences; Medical Imaging
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Abstract 

This dataset contains RF (Radio Frequency) signals obtained from simulations, which model ultrasound propagation in cortical bone.

The simulations were designed to provide insights into the behaviour of ultrasound waves in cortical bone tissues, both in intact and pathological conditions. The dataset covers a wide range of parameters, including varying thickness (1-8 mm), porosity (1-20%), and frequency (1-8 MHz), allowing to explore the impact of these factors on ultrasound signal characteristics.

 

Instructions: 

"Load_RF_Data_ieee.m" has an example to load and explore the dataset.

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