NDLI: A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries

Content Provider	IEEE Xplore Digital Library
Author	Sakellarios, A.I. Bizopoulos, P. Stefanou, K. Athanasiou, L.S. Papafaklis, M.I. Bourantas, C.V. Naka, K.K. Michalis, L.K. Fotiadis, D.I.
Copyright Year	2015
Description	Author affiliation: Biomed. Eng. Lab., Nat. Tech. Univ. of Athens, Zografou, Greece (Bizopoulos, P.) \|\| Dept. of Biomed. Res., Inst. of Mol. Biol. & Biotechnol., Ioannina, Greece (Stefanou, K.) \|\| Dept. of Interventional Cardiology, Erasmus MC, Rotterdam, Netherlands (Bourantas, C.V.) \|\| Dept. of Cardiology in Med. Sch., Univ. of Ioannina, Ioannina, Greece (Papafaklis, M.I.; Naka, K.K.; Michalis, L.K.) \|\| Dept. of Mater. Sci. & Eng., Univ. of Ioannina, Ioannina, Greece (Sakellarios, A.I.; Athanasiou, L.S.; Fotiadis, D.I.)
Abstract	In this work, we present a computational model for plaque growth utilizing magnetic resonance data of a patient's carotid artery. More specifically, we model blood flow utilizing the Navier-Stokes equations, as well as LDL and HDL transport using the convection-diffusion equation in the arterial lumen. The accumulated LDL in the arterial wall is oxidized considering the protective effect of HDL. Macrophages recruitment and foam cells formation are the final step of the proposed multi-level modeling approach of the plaque growth. The simulated results of our model are compared with the follow-up MRI findings in 12 months regarding the change to the arterial wall thickness. WSS and LDL may indicate potential regions of plaque growth $(R^{2}=0.35),$ but the contribution of foam cells formation, macrophages and oxidized LDL increased the prediction significantly $(R^{2}=0.75).$
Starting Page	6552
Ending Page	6555
File Size	716672
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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