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

Computational and Mathematical Methods in Medicine
Jürgen EndresArnd Dörfler

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.

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Citations

Apr 26, 2014·AJNR. American Journal of Neuroradiology·Christof Karmonik
Mar 28, 2016·International Journal of Computer Assisted Radiology and Surgery·Marco BoegelMarkus Kowarschik
Aug 8, 2018·AJR. American Journal of Roentgenology·Aichi ChienStephen Kee

Related Concepts

Arteriography
Blood Flow Velocity
Mycotic Aneurysm, Intracranial
In Silico
Radiographic contrast media
Pulse Rate
Stress, Mechanical
Two-Parameter Models
Normal Statistical Distribution
Radiologic Phantoms

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