Hemodynamic Simulation and Personalized Therapy of Neurovascular DiseasesIn industrialized countries, neurovascular diseases like
intracranial aneurysms are a major cause of
stroke and death, often combined with permanent
disabilities. Interventional methods and new
developments in imaging technology significantly extended
therapeutic possibilities and are capable
of enhancing the treatment outcome. However, the
opportunity
for increasing the treatment
efficiency of cerebral vascular diseases, particularly in
terms of a personalized therapy, and hence
an increased treatment quality in combination with the
reduction of treatment costs is not exhausted
by far.
Hemodynamic stress plays a major role for the development
of
cerebral aneurysms and stenoses as
well as for the long-term success of their treatment.Primary goal of this interdisciplinary project is the
development of new dimensions of
hemodynamic simulations within the interventional
environment and hence the development
towards a personalized therapy for neurovascular
diseases. The overall aim of this interdisciplinary research
project
is the development and
implementation of a multimodal platform for an automized
temporal and spatial simulation of
cerebral hemodynamics directly within the
neurointerventional environment. A special focus is
put on the optimization of segmentation algorithms as
significant precondition for a reliable
simulation, as well as on virtual angiography and device-
based virtual therapy planning,
respectively. In the second part of the project these algorithms will
be
implemented in the interventional
environment, embedded into the workflow. A multitude of
hemodynamic features will then be
evaluated using clinical reference values.
| Project manager: Prof. Dr.-Ing. Joachim Hornegger, Dr. Thomas Redel , Prof. Dr. med. Arnd Dörfler
Project participants: Marco Bögel, M. Sc., Dipl.-Inf. Jürgen Endres
Keywords: hemodynamics; blood flow simulation
Duration: 1.10.2013 - 30.4.2015
Sponsored by: Bundesministerium für Bildung und Forschung
Contact: Dörfler, Arnd Phone +49(0)9131 85-34326, Fax +49(0)9131 85-36179, E-Mail: arnd.doerfler@uk-erlangen.de
| Publications |
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Bögel, Marco ; Hölter, Philip ; Redel, Thomas ; Maier, Andreas ; Hornegger, Joachim ; Dörfler, Arnd: A Fully-Automatic Locally Adaptive Thresholding Algorithm for Blood Vessel Segmentation in 3D Digital Subtraction Angiography. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Milano, Italy 25 - 29.08). 2015, pp 2006-2009. |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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