Mathematical modeling of transport phenomena in composite arterial coronary grafts

Abstract

The nearly epidemic expansion of cardiovascular diseases in western societies consist a serious threat to public health. In the last few decades, the proliferation of cardiovascular events along with the perpetual increase of life expectancy, generate the need for novel methodologies and tools in order to assist diagnostic and therapeutic management and design. The investigation of biochemical and mechanical factors within complex biological systems, such as encountered in coronary networks, merges multidisciplinary scientific fields. Although the mechanisms for the initiation and progression of atherosclerosis are not fully understood, it is well accepted that local blood flow dynamics play a major role in the localization of coronary artery disease (CAD). It has been shown that the most important risk factors for the development of CAD are low and/or high wall shear stress (WSS) regions, high pressure distributions along the vessels and long residence times of blood cells and lipoids ...
show more

All items in National Archive of Phd theses are protected by copyright.

DOI
10.12681/eadd/16291
Handle URL
http://hdl.handle.net/10442/hedi/16291
ND
16291
Alternative title
Μαθηματική προσομοίωση φαινομένων μεταφοράς σε παρακαμπτήρια μοσχεύματα επαναιμάτωσης του μυοκαρδίου
Author
Politis, Argyris (Father's name: Konstantinos)
Date
2007
Degree Grantor
National Technical University of Athens (NTUA)
Committee members
Μαρκάτος Νικόλαος–Χρήστος
Βλάχος Νικόλαος
Κυρανούδης Χρήστος
Νικήτα Κωνσταντίνα
Παναγόπουλος Φώτης
Πελεκάσης Νικόλαος
Τζαμπίρας Γεώργιος
Discipline
Engineering and Technology
Chemical Engineering
Keywords
Mathematical modeling; Computational fluid dynamics; Pulsatile flow; Coronary flow; Composite arterial coronary grafts; Total arterial revascularization
Country
Greece
Language
Greek
Description
339 σ., im.
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.