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AuthorSalman, Huseyin Enes
AuthorYazicioglu, Yigit
Available date2019-08-26T11:23:30Z
Publication Date2019-08-01
Publication NameMedical Engineering and Physicsen_US
Identifierhttp://dx.doi.org/10.1016/j.medengphy.2019.06.007
CitationSalman HE, Yazicioglu Y. Computational analysis for non-invasive detection of stenosis in peripheral arteries. Med Eng Phys. 2019 Aug;70:39-50. doi: 10.1016/j.medengphy.2019.06.007.
ISSN0946-7076
URIhttp://hdl.handle.net/10576/11722
AbstractAtherosclerosis usually affects the entire cardiovascular system, including peripheral blood vessels. Peripheral arterial stenosis may indicate possible serious vascular disorders related to more vital organs. If peripheral arterial stenosis can be discerned at an early stage, it can serve as a warning sign to take precautions, such as using more invasive diagnostic techniques or adopting a healthier life style. In this study, peripheral regions, such as the thigh, upper arm, and neck are modelled considering stenosis of their major arteries. Stenosis generates a fluctuating pressure field on the arterial wall, which leads to vibration on the skin's surface. This stenosis-induced pressure field is modelled as a harmonic load and applied to the inner surface of the arterial structure. The vibration response on bare skin is computationally determined using the superposition of modal responses. Realistic geometries and hyperelastic material properties are used in modelling the layers of skin, fat, muscle, and bones. The results indicate that stenosis severities higher than 70% lead to a considerable increase in vibration-response amplitudes, especially at frequencies greater than 250 Hz. The detailed analysis of skin responses provides useful information to detect the stenosis location, where the sum of the vibration amplitudes attains its maximum value around the stenosis.
SponsorThis work is internally supported by Middle East Technical University (METU) Scientific Research Project (BAP) under grant number BAP-03-02-2015-006. The authors would like to thank BTech Innovation (Ankara, Turkey) for providing technical support for the reconstruction of the three-dimensional models. The authors would also like to acknowledge the financial support from the Turkish Scientific and Technical Research Council (TUBITAK) under the 2211/C program.
Languageen
PublisherElsevier
SubjectAtherosclerosis
SubjectBiomechanics
SubjectModal analysis
SubjectStenosis
SubjectTurbulence-induced vibration
TitleComputational analysis for non-invasive detection of stenosis in peripheral arteries.
TypeArticle
Pagination39-50
Volume Number70
dc.identifier.essn 1432-1858


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