Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching bei München room: MI 03.13.060 phone:+49 89 289 19437 email: |
Estimation of Flow Parameters from X-ray DataThis project focuses on the quantification of blood flow based on 2D and 3D angiographic X-ray image data, which is of particular interest during minimally invasive interventional procedures such as recanalizations of stenotic vessels and embolizations of arteries that feed tumors or vascular malformations in the patient's brain, for example. Our projects cover the evaluation of model-based approaches involving CFD (computational fluid dynamics) simulations as well as methods that aim at estimating the optical flow in the images and deriving quantitative blood flow information from these results. |
Living ReviewReview papers generally provide a comprehensive overview over the plethora of existing techniques with a particular focus on the suitable classification criteria. However, we wish to go beyond a static literature review which is naturally doomed to be outdated after a certain period of time due to the rapid research progress. Our living review concept augments conventional review papers with an extendable and interactive database in order to obtain an intuitive nd structured visualization whose currency goes beyond the one of a printed paper. All papers in this database are labeled with one or multiple tags according to 13 carefully defined categories. The classification of all entries can then be visualized as one or multiple trees which are presented via a web-based interactive app (http://livingreview.in.tum.de) allowing the user to choose a unique perspective for literature review. In addition, the user can search the underlying database for specific tags or publications related to vessel registration. Many applications of this framework are conceivable, including the use for getting a general overview on the topic or the utilization by physicians for deciding about the best-suited algorithm for a specific application. |
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Title: | Dipl.-Tech. Math. Univ. |
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Firstname: | Richard |
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Lastname: | Brosig |
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Nationality: | Germany |
Languages: | English, German |
Groups: | Medical Imaging |
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Position: | Scientific Staff |
Status: | Alumni |
Emailbefore: | brosig |
Emailafter: | in.tum.de |
Room: | MI 03.13.060 |
Telephone: | +49 89 289 19437 |
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