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Assessment of Geometrical Influence on WSS Estimation in the Human Aorta
Linköping University, Department of Mechanical Engineering. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Mechanical Engineering. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0001-5526-2399
2006 (English)In: WSEAS Transactions on Fluid Mechanics, ISSN 1790-5087, Vol. 4, no 1, 318-326 p.Article in journal (Refereed) Published
Abstract [en]

Computational fluid dynamics simulations were performed on a stenosed human aorta with poststenotic dilatation, in order to estimate wall shear stress (WSS). WSS is important due to its correlation with atherosclerosis. Both steady-state and non-stationary simulations were conducted. Three different models were created from a set of MRI images. Comparison of geometrically different models was accomplished by using geometrical landmarks and a comparison parameter. Geometrical differences had larger influence on WSS magnitude than inflow rotation in steady-state results for the models used. In non-stationary flow the largest differences in WSS are found when the flow velocity near the wall is low e.g. when the inflow is low or in recirculation regions.

Place, publisher, year, edition, pages
2006. Vol. 4, no 1, 318-326 p.
Keyword [en]
wall shear stress, human aorta, geometry influence, cfd, result, comparison
National Category
Engineering and Technology Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:liu:diva-37433Local ID: 35727OAI: oai:DiVA.org:liu-37433DiVA: diva2:258282
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-03-14
In thesis
1. Estimating patient specific wall shear stress in the human aorta: geometrical and post-processing considerations
Open this publication in new window or tab >>Estimating patient specific wall shear stress in the human aorta: geometrical and post-processing considerations
2006 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis describes a workflow to perform in-vivo wall shear stress (WSS) estimations in the human aorta using computational fluid dynamics (CFD) methods. An abnormal WSS distribution is believed to influence the development of many cardiovascular diseases, e.g. atherosclerosis. The focus in this thesis is on geometrical influence on the WSS results and interpretation methods tor non-stationary results. The work shows that results are sensitive to the choice of segmentation method (the process from medical images to a geometrical model) and a correct geometrical description of the artery is crucial in making WSS estimations. A new parameter for non-stationary WSS results has been proposed; Wall Shear Stress Angular Amplitude (WSSAA), making the analysis of non-stationary results more straight-forward. It has been shown that the workfiow can be used with confidence and that WSS can be estimated in-vivo. using the combination of MRI-based geometry definition and CFD.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2006. 29 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1275
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-36904 (URN)32991 (Local ID)91-85643-75-0 (ISBN)32991 (Archive number)32991 (OAI)
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-12-19

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Gårdhagen, RolandRenner, JohanKarlsson, Matts

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Department of Mechanical EngineeringThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)Department of Biomedical Engineering
Engineering and TechnologyRadiology, Nuclear Medicine and Medical ImagingMedical Image ProcessingFluid Mechanics and Acoustics

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