DocumentCode
2570429
Title
A patient-specific reduced-order model for coronary circulation
Author
Itu, Lucian ; Sharma, Puneet ; Mihalef, Viorel ; Kamen, Ali ; Suciu, Constantin ; Lomaniciu, D.
Author_Institution
Corp. Res. & Technol., Siemens Corp., Princeton, NJ, USA
fYear
2012
fDate
2-5 May 2012
Firstpage
832
Lastpage
835
Abstract
We introduce a patient-specific model for coronary circulation, by combining anatomical, hemodynamic and functional information from medical images and other clinical observations. The main components of the coupled model are: a lumped heart model, a reduced-order model for hemodynamics in the arterial vessel tree (both healthy and stenosed), and a physiological model for the microvascular bed. The anatomy of the vessel tree is extracted from Coronary Computed Tomography Angiography (CTA) images, followed by an estimation of the impedance of the distal microvascular network. For the blood flow simulations, three states are modeled: rest, drug-induced hyperemia and intense exercise. The results show an excellent agreement with the literature and provide a model for virtual assessment of the flow and underlying functional measures in healthy and stenosed coronary arteries.
Keywords
blood vessels; cardiology; computerised tomography; haemodynamics; Coronary Computed Tomography Angiography; anatomical information; arterial vessel tree; blood flow simulation; coronary circulation; distal microvascular network; functional information; hemodynamic information; lumped heart model; medical image; microvascular bed; patient specific reduced order model; Adaptation models; Arteries; Computational modeling; Heart; Mathematical model; Reduced order systems; Solid modeling; Coronary Computed Tomography; coronary circulation; pressure drop; reduced-order model; stenosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location
Barcelona
ISSN
1945-7928
Print_ISBN
978-1-4577-1857-1
Type
conf
DOI
10.1109/ISBI.2012.6235677
Filename
6235677
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