DocumentCode :
667210
Title :
Modeling atherosclerotic plaque growth: A case report based on a 3D geometry of left coronary arterial tree from computed tomography
Author :
Sakellarios, Antonios I. ; Siogkas, Panagiotis K. ; Athanasiou, Lambros S. ; Exarchos, Themis P. ; Papafaklis, Michail I. ; Bourantas, C.V. ; Naka, Katerina K. ; Iliopoulou, Dimitra ; Michalis, Lampros K. ; Filipovic, N. ; Parodi, Oberdan ; Fotiadis, Dimi
Author_Institution :
Dept. of Mater. Sci. & Eng., Univ. of Ioannina, Ioannina, Greece
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this study, we present an innovative model for plaque growth utilizing a 3-Dimensional (3D) left coronary arterial tree reconstructed from computed tomographic (CT) data. The proposed model takes into consideration not only the effect of the local hemodynamic factors but also major biological processes such as the low density lipoprotein (LDL) and high density lipoprotein (HDL) transport, the macrophages recruitment and the foam cells formation. The endothelial membrane is considered semi-permeable and endothelial shear stress dependent, while its permeability is modeled using the Kedem-Katscalsky equations. Patient specific biological data are used for the accurate modeling of plaque formation process. The finite element method (FEM) is employed for the solution of the system of partial differential equations. The results of the simulation are compared to the plaque progression in a follow-up CT examination performed three years after the initial investigation. The results show that the proposed model can be used to predict regions prone for plaque development of progression.
Keywords :
biomembranes; blood vessels; cardiovascular system; computerised tomography; diseases; finite element analysis; haemodynamics; image reconstruction; medical image processing; molecular biophysics; partial differential equations; proteins; 3-dimensional left coronary arterial tree reconstruction; 3D geometry; 3D left coronary arterial tree reconstruction; CT data; FEM; Kedem-Katscalsky equations; biological processes; computed tomographic data; endothelial membrane; endothelial shear stress dependent; finite element method; foam cell formation; high density lipoprotein transport; local hemodynamic factor effect; low density lipoprotein transport; macrophages recruitment; modeling atherosclerotic plaque growth; partial differential equations; patient specific biological data; permeability; plaque formation process; plaque progression; semipermeable shear stress dependent; Arteries; Atherosclerosis; Computational modeling; Computed tomography; Equations; Hardware design languages; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
Type :
conf
DOI :
10.1109/BIBE.2013.6701548
Filename :
6701548
Link To Document :
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