Cargando…

Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis

For the early detection of atherosclerosis, it is imperative to explore the capabilities of new, effective noninvasive diagnosis techniques to significantly reduce the associated treatment costs and mortality rates. In this study, a multifaceted comprehensive approach involving advanced computationa...

Descripción completa

Detalles Bibliográficos
Autores principales: Khalili, Fardin, Gamage, Peshala T., Taebi, Amirtahà, Johnson, Mark E., Roberts, Randal B., Mitchel, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000318/
https://www.ncbi.nlm.nih.gov/pubmed/33806695
http://dx.doi.org/10.3390/bioengineering8030034
_version_ 1783670975157501952
author Khalili, Fardin
Gamage, Peshala T.
Taebi, Amirtahà
Johnson, Mark E.
Roberts, Randal B.
Mitchel, John
author_facet Khalili, Fardin
Gamage, Peshala T.
Taebi, Amirtahà
Johnson, Mark E.
Roberts, Randal B.
Mitchel, John
author_sort Khalili, Fardin
collection PubMed
description For the early detection of atherosclerosis, it is imperative to explore the capabilities of new, effective noninvasive diagnosis techniques to significantly reduce the associated treatment costs and mortality rates. In this study, a multifaceted comprehensive approach involving advanced computational fluid dynamics combined with signal processing techniques was exploited to investigate the highly turbulent fluctuating flow through arterial stenosis. The focus was on localizing high-energy mechano-acoustic source potential to transmit to the epidermal surface. The flow analysis results showed the existence of turbulent pressure fluctuations inside the stenosis and in the post-stenotic region. After analyzing the turbulent kinetic energy and pressure fluctuations on the flow centerline and the vessel wall, the point of maximum excitation in the flow was observed around two diameters downstream of the stenosis within the fluctuating zone. It was also found that the concentration of pressure fluctuation closer to the wall was higher inside the stenosis compared to the post-stenotic region. Additionally, the visualization of the most energetic proper orthogonal decomposition (POD) mode and spectral decomposition of the flow indicated that the break frequencies ranged from 80 to 220 Hz and were correlated to the eddies generated within these regions.
format Online
Article
Text
id pubmed-8000318
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-80003182021-03-28 Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis Khalili, Fardin Gamage, Peshala T. Taebi, Amirtahà Johnson, Mark E. Roberts, Randal B. Mitchel, John Bioengineering (Basel) Article For the early detection of atherosclerosis, it is imperative to explore the capabilities of new, effective noninvasive diagnosis techniques to significantly reduce the associated treatment costs and mortality rates. In this study, a multifaceted comprehensive approach involving advanced computational fluid dynamics combined with signal processing techniques was exploited to investigate the highly turbulent fluctuating flow through arterial stenosis. The focus was on localizing high-energy mechano-acoustic source potential to transmit to the epidermal surface. The flow analysis results showed the existence of turbulent pressure fluctuations inside the stenosis and in the post-stenotic region. After analyzing the turbulent kinetic energy and pressure fluctuations on the flow centerline and the vessel wall, the point of maximum excitation in the flow was observed around two diameters downstream of the stenosis within the fluctuating zone. It was also found that the concentration of pressure fluctuation closer to the wall was higher inside the stenosis compared to the post-stenotic region. Additionally, the visualization of the most energetic proper orthogonal decomposition (POD) mode and spectral decomposition of the flow indicated that the break frequencies ranged from 80 to 220 Hz and were correlated to the eddies generated within these regions. MDPI 2021-03-04 /pmc/articles/PMC8000318/ /pubmed/33806695 http://dx.doi.org/10.3390/bioengineering8030034 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Khalili, Fardin
Gamage, Peshala T.
Taebi, Amirtahà
Johnson, Mark E.
Roberts, Randal B.
Mitchel, John
Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title_full Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title_fullStr Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title_full_unstemmed Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title_short Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis
title_sort spectral decomposition and sound source localization of highly disturbed flow through a severe arterial stenosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000318/
https://www.ncbi.nlm.nih.gov/pubmed/33806695
http://dx.doi.org/10.3390/bioengineering8030034
work_keys_str_mv AT khalilifardin spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis
AT gamagepeshalat spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis
AT taebiamirtaha spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis
AT johnsonmarke spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis
AT robertsrandalb spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis
AT mitcheljohn spectraldecompositionandsoundsourcelocalizationofhighlydisturbedflowthroughaseverearterialstenosis