Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals

Aleksandrs Sisojevs, Alexey Tatarinov, Anastasija Chaplinska

2023

Abstract

Bone fragility in osteoporosis is associated with a decrease in the thickness of the cortical layer CTh in long bones and the development of internal porosity P in it. In the present work, an attempt was made to predict the factors-of-interest CTh and P based on the pattern recognition approach, where DFT analysis was applied to ultrasonic signals in surface transmission through a soft tissue layer. Compact bone was modeled with PMMA plates with gradual changes in CTh from 2 to 6 mm, and internal porosity P was created by drilling where the thickness of the porous layer P varied from 0 to 100% of CTh. The estimation method was based on a statistical analysis of the magnitude of the DFT spectrum of the ultrasonic signals. Decision rules were mathematical criteria calculated as ratios between the envelope functions of the magnitudes. Each of the objects was chosen in turn as a test object, while other specimens composed the training set. The results of the experiments showed the potential effectiveness of the CTh and P prediction, while additional physical parameters may be used as decision rules to improve the reliability of the diagnosis.

Paper Citation

in Harvard Style

Sisojevs A., Tatarinov A. and Chaplinska A. (2023). Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 914-919. DOI: 10.5220/0011742800003411

in Bibtex Style

@conference{icpram23,
author={Aleksandrs Sisojevs and Alexey Tatarinov and Anastasija Chaplinska},
title={Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={914-919},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011742800003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals
SN - 978-989-758-626-2
AU - Sisojevs A.
AU - Tatarinov A.
AU - Chaplinska A.
PY - 2023
SP - 914
EP - 919
DO - 10.5220/0011742800003411