Stanford University, USA
Roland Bammer, PhD, is an Assistant Professor of Radiology at Stanford University. He also heads the Pediatric Radiology Research Program at Stanford which has grown to one of the largest in the U.S. Professor Bammer has also a venia docendi (habilitation) for Medical Physics and Biophysics at the Karl-Franzens University of Graz, Austria, and since 2009 Professor Bammer is also a Fellow of the Freiburg Institute of Advanced Studies (FRIAS) at the Albert-Ludwigs University of Freiburg, Germany.
Professor Bammer’s research focuses on acquisition, reconstruction, and interpretation of CT and MR data. He is heavily involved in developing novel MR methods, but also deeply entrenched in clinical research and improving clinical imaging on a daily basis. In addition, Professor Bammer is an inventor on several U.S. patents, which have been licensed to major MR vendors and startup companies.
Professor Bammer received his master’s and doctorate degree from the Graz University of Technology, Graz, Austria. He joined Stanford in 2001 as a staff scientist and the Stanford faculty in 2003. Since 2001 he is actively collaborating with the Clinical Pediatric Departments as well as the Stanford Stroke Center, which has led to numerous joint NIH research awards and publications. Since 2004 he is heading the Radiology Physics program for Radiology Residents. He has contributed more than 110 scientific journal articles to the medical literature including publications in top-ranked journals such as the Annals of Neurology, Stroke, Neurology, Neuroimage, Radiology, Magnetic Resonance in Medicine, and Proceedings of the National Academy of Science. Professor Bammer serves as a scientific reviewer for the National Institutes of Health on their Biomedical Imaging Technology (BMIT) as well as Neurotechnology (NT) roster and multiple medical and technical journals. He is also member of the Editorial Board of Magnetic Resonance in Medicine (ISMRM) and the Annual Meeting Program Committee of the International Society for Magnetic Resonance in Medicine. Professor Bammer has served as one of the two leaders of the ‘Mathematical models, processing algorithms, and phantom testing’ Task Force of the Stroke Image Repository consortium. Professor Bammer has been an invited visiting professor at several universities, has organized several international CME courses, and has lectured at numerous national and international medical conferences. Just recently he has organized a very successful ISMRM workshop on motion detection and correction for MR and is the current Chair of an ISMRM study group which focuses on that matter.
1. R. Bammer, M. Aksoy, C. Liu. Augmented Generalized SENSE Reconstruction to Correct for Rigid Body Motion. Magn Reson Med, 57: 90-102, 2007.
2. R. Bammer, T. Hope, M. Aksoy, M.T. Alley. Time-Resolved 3D Quantitative Flow MRI of the Major Intracranial Vessels: Initial Experience and Comparative Evaluation at 1.5T and 3.0T in Combination with Parallel Imaging. Magn Reson Med, 57: 127-140, 2007.
3. R. Bammer, M. Markl, B. Acar, A.S. Barnett, M.T. Alley, N.J. Pelc, M.E. Moseley, G.H. Glover. Analysis and generalized correction of the effect of spatial gradient field distortions in diffusion-weighted imaging. Magn Reson Med, 50: 560-569, 2003.
4. R. Bammer, S.L. Keeling, M. Augustin, K.P. Pruessmann, R. Wolf, F. Fazekas. Improved diffusion-weighted single-shot Echo-Planar imaging (EPI) in stroke using sensitivity encoding (SENSE). Magn Reson Med, 46: 548-554, 2001.
5. R. Bammer, M. Auer, S.L. Keeling, M. Augustin, R.W. Prokesch, R. Stollberger, M.E. Moseley, F. Fazekas. Diffusion tensor imaging using single-shot SENSE-EPI. Magn Reson Med, 48: 128-136, 2002.
6. R. Dougherty, M. Ben-Shachar, R. Bammer, B. Wandell. Functional Organization of Human Occipital-callosal Fiber Tracts. Proceedings of the National Academy of Sciences, 26:1479-86, 2005.
7. G.W. Albers, V.N. Thijs, L. Wechsler, S. Kemp, G. Schlaug, E. Skalabrin, R. Bammer, W. Kakuda, M. Lansberg, A. Shuaib, W. Coplin, S. Hamilton, M. Moseley, M.P. Marks. Magnetic Resonance Imaging Profiles Predict Clinical Response to Early Reperfusion: The Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study, Ann Neurol, 60: 508-517, 2006.
8. T. Vertinsky, E. Rubesova, M. Krasnokutsky, S. Bammer, J. Rosenberg, P. Barnes, R. Bammer. Performance of PROPELLER FSE T2-weighted Imaging Relative to Standard FSE-T2 in Pediatric Brain Magnetic Resonance Imaging, Pediatric Radiology, 39:1038-47, 2009.
9. C. Liu, R. Bammer, M.E. Moseley. Parallel Imaging Reconstruction for Arbitrary Trajectories using k-Space Sparse Matrixes (kSPA). Magn Reson Med, 58: 1171-1181, 2007.
10. R. Bammer, C. Liu, M. Aksoy. Parallel Imaging Reconstruction of Arbitrarily Sampled k-space Data. In: Clinical Parallel Imaging. Ed: S.O. Schoenberg, O. Dietrich, M. Reiser. Springer, Berlin, Germany, 2006.
Patient motion during magnetic resonance imaging (MRI) examinations generates artefacts which often render the resulting images clinically unusable. This significant problem hampers diagnosis and patient throughput. Our project aims at the development of a fully MR-compatible optical motion tracking system in order to monitor uncontrolled spontaneous patient movements in the MR scanner. The parameters measured will be used for a real-time correction of the MR data in order to reconstruct undisturbed images. To ensure the visibility of the tracked body part, the tracking system has to be placed inside of the magnet bore. Since the free space inside the magnet bore is extremely limited, the entire tracking system has to be very compact, thus, warranting a high degree of integration and the need of using micro components.
Beside the pure functional aspects of ADOPT, we will also focus on the acceptance of the technology. This relies on an easy and safe handling for the clinic personal, and, even more important, on sufficient comfort for the patient.