The Pattern Recognition Lab (Lehrstuhl f�r Mustererkennung - LME) is part of the Department of Computer Science at the Friedrich-Alexander University of Erlangen-Nuremberg and has been headed by Prof. Dr.-Ing. Joachim Hornegger since 2005. The research at LME is mostly interdisciplinary and it is mainly focused on medical and health engineering. The main areas of research are: medical image processing, computer vision, speech processing and understanding, and digital sports. The LME has close national and international collaborations with several other universities, research institutes and industrial partners (such as Siemens Medical, Adidas AG and Audi).
The seminar will be diveded into two parts: introduction and description of the current research projects at LME and brief presentation of two projects related to magnetic resonance imaging (MRI).
Project 1:
Magnetic resonance imaging (MRI) is finding increased application in guiding interventional procedures, particularly percutaneous needle- and catheter-based interventions, due to its high soft-tissue contrast and multi-planar capabilities. This talk will give a snapshot of passive needle guidance and real-time temperature measurement with MR for minimally invasive ablation procedures.
Project 2:
Featuring excellent soft tissue contrast, free-breathing, whole-heart coronary MRI (CMRI) is a promising, non invasive, alternative to X-ray coronary angiography, which avoids exposure to ionizing radiations. However, current navigator-gated CMRI approaches do not yet meet the requirements of clinical practive as they perform with sub-optimal accuracy and require prolonged acquisition times. This talk will give a short description of the main challenges of CMRI, with a particular focus on respiratory motion correction. An innovative solution will be described and compared with a conventional approach.
The homepage of the LME is: http://www5.informatik.uni-erlangen.de/. A list and a description of all the projects as well as an overview of the team at LME can be found at: http://www5.informatik.uni-erlangen.de/nc/en/our-team/.