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Intra-modality Fusion and Device Tracking for MR Guided Interventional ProceduresMagnetic resonance imaging is of great interest for interventional radiology due to its excellent soft tissue characterization, lack of ionizing
radiation, multiplanar capabilities and ability to derive functional as well as anatomic information. However, performing real time MR guided
procedures with the patient in the MR scanner poses additional challenges. This work addresses some of the key issues, including
thermography in the presence of breathing and other sources of motion, tracking devices in the MR scanner and providing intuitive feedback
for guidance to physicians, and fusing different types of MR information at different stages of a procedure to optimize the combined use of
both real time and tissue characterization images. The overall goal of this research project is to develop new methods and prototypes for:
Quality control/ motion estimation for MR guided thermal therapy
Automated image based device tracking for MR guided percutaneous procedures
Intra-modality fusion for guiding MR procedures
| Project manager: Dr. Christine H. Lorenz, Dr. Martin Huber, Prof. Dr.-Ing. Joachim Hornegger
Project participants: Dr.-Ing. Eva Rothgang, Dr. Joerg Roland, Dr. Wesley D. Gilson
Keywords: interventional MRI; MR thermometry; device tracking
Duration: 1.12.2008 - 30.11.2011
Sponsored by: Siemens Corporate Technology
Contact: Rothgang, Eva E-Mail: eva.rothgang@cs.fau.de
| Publications |
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Kickhefel, Antje ; Rothgang, Eva ; Rosenberg, Christian ; Roland, Jörg ; Schick, Fritz: Improving In-Vivo MR Thermotherapy Reliability in Moving Organ by applying Pennes' Bioheat Equation - Evaluation on Patient Liver Study. In: Magnetic Resonance Materials in Physics, Biology and Medicine 22 (2009), No. 1, pp 380 [doi>10.1007/s10334-009-0178-y] | Rothgang, Eva ; Kickhefel, Antje ; Roland, Jörg ; Rosenberg, Christian ; Hornegger, Joachim ; Lorenz, Christine: Online improvement of the reliability of PRF based temperature maps displayed during laser-induced thermotherapy of liver lesions. In: Magnetic Resonance Materials in Physics, Biology and Medicine 22 (2009), No. 1, pp 390 [doi>10.1007/s10334-009-0178-y] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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