Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG
Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help     search: People Departments Other entries Lecture list Module Rooms Publications Research projects Internat. contacts Job offers Furniture and equipment offers Thesis offers      semester: WS 2024/2025 SS 2024 WS 2023/2024 SS 2023 WS 2022/2023 SS 2022 WS 2021/2022 SS 2021 WS 2020/2021 SS 2020 WS 2019/2020 SS 2019 WS 2018/2019 SS 2018 WS 2017/2018 SS 2017 WS 2016/2017 SS 2016 WS 2015/2016 SS 2015 WS 2014/2015 SS 2014 WS 2013/2014 SS 2013 WS 2012/2013 SS 2012 WS 2011/2012 SS 2011 WS 2010/2011 SS 2010 WS 2009/2010 SS 2009 WS 2008/2009 SS 2008 WS 2007/2008 SS 2007 WS 2006/2007 SS 2006 WS 2005/2006 SS 2005 WS 2004/2005 SS 2004 WS 2003/2004 SS 2003 WS 2002/2003 SS 2002 WS 2001/2002 SS 2001 WS 2000/2001 SS 2000 WS 1999/2000 SS 99 WS 98/99 SS 98 WS 97/98 SS 97 WS 96/97      Lectures     Staff/ Facilities     Room directory     Research- report     Publications     Internat. contacts     Thesis offers     Phone book
Layout   printable version      Also in UnivIS   course list lecture directory     events calendar job offers furniture and equipment offers	Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >> Predictive Prevention and Personalized Interventional Stroke Therapy - P3-Stroke The goal of the P3-Stroke project is to improve the diagnosis and interventional treatment of strokes by combining the use of magnetic resonance imaging and angiography. Conducting separate examinations using different devices takes time, particularly due to the need to transfer patients between locations. This is valuable time that stroke patients do not have. As an average of 2 million neurons are destroyed every minute, every minute counts during efforts to prevent major damage after a stroke. By combining two imaging techniques, magnetic resonance imaging and angiography, this innovative approach will be used for diagnosis and immediate treatment, reducing the time needed for patient transfers and saving valuable time when treating stroke patients. The focus of this project will be the combination of image information that is acquired by these two modalities. Project manager: Ph.D. Rebecca Fahrig , Prof. Dr. med. Arnd Dörfler, Prof. Dr.-Ing. habil. Andreas Maier, Ph.D. Hilde Bosmans Project participants: Dr.-Ing. Martino Leghissa , Bernhard Stimpel, M. Sc., Christopher Syben, M. Sc., Dr. rer. nat. Jonathan Lommen Keywords: Stroke therapy; Hybrid imaging; Interventional MRI; Angiography; Duration: 1.10.2016 - 31.12.2018 Sponsored by: EIT Health Contact: Maier, Andreas Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de Publications Stimpel, Bernhard ; Syben, Christopher ; Würfl, Tobias ; Mentl, Katrin ; ; Maier, Andreas: MR to X-ray Projection Image Synthesis. In: Frédéric Noo (Ed.) : Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (The 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) Salt Lake City, UT, USA 20.-23.05.2018). 2018, pp 435-438. Syben, Christopher ; Stimpel, Bernhard ; ; Würfl, Tobias ; Fahrig, Rebecca ; ; Maier, Andreas: Precision Learning: Reconstruction Filter Kernel Discretization. In: Noo, Frederic (Ed.) : Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (5th International Conference on Image Formation in X-ray Computed Tomography Salt Lake City, Utha, USA 20-23). 2018, pp 386-390. Syben, Christopher ; Stimpel, Bernhard ; Leghissa, Martino ; Dörfler, Arnd ; Maier, Andreas: Fan-beam Projection Image Acquisition using MRI. In: Skalej, Martin ; Hoeschen, Christoph (Ed.) : 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie Magdeburg 6-7.11.2017). 2017, pp 14-15. UnivIS is a product of Config eG, Buckenhof