Experimental and numerical investigation on soft tissue dynamic response due to turbulence-induced arterial vibration

Date

2019-08-01

Author

Salman, Huseyin Enes
Yazıcıoğlu, Yiğit

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Peripheral arterial occlusive disease is a serious cardiovascular disorder. The arterial occlusion leads to turbulent flow and arterial sound generation on the inner vessel wall. Stenosis-induced vibro-acoustic waves propagate through the surrounding soft tissues and reach the skin surface. In this study, the feasibility of noninvasive acoustic detection of the peripheral arterial stenosis is investigated using the vibration responses by means of experimental and computational models. Latex rubber tube is used to model the artery, and it is surrounded by a tissue mimicking phantom made of bovine gelatin. Vibration responses on phantom surface are measured using laser Doppler vibrometer, and computational results are obtained performing modal analysis. Experimental findings and computational results showed well agreement in terms of spectral content and vibration amplitudes. The effects of various stenosis severities, flow rates, and phantom thicknesses on the vibration responses are investigated from diagnostic perspective. Stenosis severities greater than 70% resulted in a considerable increase in vibration amplitudes. The structural mode shapes of the tissue phantom are dominant between 0 and 100 Hz, suppressing the signals generated by the stenosis. The optimum range of frequency for acoustic stenosis detection is concluded to be between 200 and 500 Hz, particularly around 300 Hz.

Subject Keywords

Biomedical Engineering, Computer Science Applications

URI

https://hdl.handle.net/11511/34600

Journal

Medical and Biological Engineering and Computing

DOI

https://doi.org/10.1007/s11517-019-01995-y

Collections

Department of Mechanical Engineering, Article

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Citation Formats

H. E. Salman and Y. Yazıcıoğlu, “Experimental and numerical investigation on soft tissue dynamic response due to turbulence-induced arterial vibration,” Medical and Biological Engineering and Computing, pp. 1737–1752, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34600.