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PMID: 23193428 Published · ppublish English Journal Article

A workflow for patient-individualized virtual angiogram generation based on CFD simulation.

Computational and mathematical methods in medicine ·Vol. 2012 ·2012-00-00 ·页码 306765

Endres J, Kowarschik M, Redel T, Sharma P, Mihalef V, Hornegger J, Dörfler A

Abstract

Increasing interest is drawn on hemodynamic parameters for classifying the risk of rupture as well as treatment planning of cerebral aneurysms. A proposed method to obtain quantities such as wall shear stress, pressure, and blood flow velocity is to numerically simulate the blood flow using computational fluid dynamics (CFD) methods. For the validation of those calculated quantities, virtually generated angiograms, based on the CFD results, are increasingly used for a subsequent comparison with real, acquired angiograms. For the generation of virtual angiograms, several patient-specific parameters have to be incorporated to obtain virtual angiograms which match the acquired angiograms as best as possible. For this purpose, a workflow is presented and demonstrated involving multiple phantom and patient cases.

MeSH 主题词
Algorithms Angiography Blood Flow Velocity/physiology Computer Simulation Contrast Media/pharmacology Heart Rate Humans Intracranial Aneurysm/physiopathology Models, Cardiovascular Models, Statistical Normal Distribution Phantoms, Imaging Pressure Risk Shear Strength Stress, Mechanical Workflow
化学物质
Contrast Media
作者与单位
共 7 位作者,点击展开单位 / ORCID
Endres Jürgen
Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University of Erlangen-Nuremberg, Martensstrasse 3, 91058 Erlangen, Germany. [email protected]
Kowarschik Markus
Redel Thomas
Sharma Puneet
Mihalef Viorel
Hornegger Joachim
Dörfler Arnd
Article Info
Journal
Computational and mathematical methods in medicine
Abbr.
Comput Math Methods Med
ISSN
1748-6718
Corresponding email
Published
2012-00-00
电子出版
2012-00-04
页码
306765
Language
English
Country/Region
United States
NLM ID
101277751
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