BD-16: Multimodal flat-panel volume CT for neurovascular diseases
The overall objective of the interdisciplinary research project is to open up a new dimension of flat-panel imaging for a more efficient and patient-specific management of stroke and neurovascular diseases in general. The primary goal is to specifically develop a multimodal functional imaging platform based on established flat-panel technology (FD CT) and to integrate it into the interventional environment. In particular, the focus will be on quantitative whole-brain perfusion imaging and on improving image quality. This includes everything from fundamental research through industrial development to clinical validation. The end result of our project will be prototypes, software solutions and evaluated clinical application concepts as a necessary requirement for successful industrial product development/marketing.
Brief project description
Erlangen University Hospital is one of Germany's leading hospitals for stroke treatment. The Head Clinic/Stroke Center provides the ideal framework not only for patient care but also for the research and development of new technologies and treatment methods. Interventional methods and new developments in imaging have significantly expanded the range of treatment possibilities for cerebrovascular diseases. Interventional mechanical recanalization procedures are being used with increasing success in the treatment of acute ischemic stroke.
What would be desirable in this context is an optimized visualization of the often very small endovascular implants and the possibility to perform whole-brain perfusion imaging directly in the angiography room, ideally as multimodal imaging with simultaneous visualization of the cerebral parenchyma and the cerebral vessels. New dynamic flat-panel systems used in flat-panel volume CT (FD CT) provide 3D acquisitions with excellent spatial resolution and the possibility of reconstructing multiplanar slices. Using subtraction techniques, it is also possible to visualize the cerebral blood volume in a non-invasive way and in high resolution. The aim is to first develop optimized protocols and automated postprocessing techniques for better visualization of endovascular implants and whole-brain perfusion imaging based on experimental data from measurements on phantom models and aneurysm and ischemia models. In the second project phase these algorithms will be implemented and clinically evaluated in the interventional environment. Here the monitoring modalities "FD-CT/FD-CTPerfusion" would offer the advantage that, once validated, they can be directly implemented in clinical practice, and other organ regions would also benefit significantly from these developments.
01.11.2012 - 30.04.2015
- Siemens Aktiengesellschaft Healthcare
- University Hospital Erlangen
Prof. Dr. Arnd Dörfler
University Clinic Erlangen