Dr. Peter B. Noël

Dr. Peter B. Noël homepage Affilitations: Institute for Diagnostic and Interventional Radiology Klinikum rechts der Isar Ismaninger Straße 22 81675 München & Chair of Biomedical Physics (Physik-Department (E17)) Techniche Universität München James-Franck-Strasse 1 85748 Garching

Biography

Peter B. Noël, Ph.D. (2009, Computer Science, State University of New York at Buffalo, United States). Dr. Noël is currently member of the Institute for Diagnostic and Interventional Radiology and of the Chair of Biomedical Physics. He is the Principle Investigator of the "image reconstruction & x-ray" group. For his undergraduate training Dr. Noël completed a degree in Biomedical Engineering at the University of Applied Sciences in Giessen, Germany. While conducting research in the area of intervential imaging at the Toshiba Stroke Research Center (Buffalo, NY), he received a Masters degree in Computer Science. In 2009 he finalized his Ph.D. in Computer Science from SUNY at Buffalo with focus on advanced 3D reconstruction algorithms. Currently his primary research interest is in the area of Computed Tomography and includes diagnostic and interventional 2D and 3D x-ray imaging, tomographic reconstruction, statistical reconstruction approaches, phase contrast imaging, spectral imaging with photon counting detectors, imaging on micro / nano scale, high performance computing with GPUs and clinical translation of advanced technologies. Dr. Noëls research efforts are currently supported by national as well as industrial grants. His achievements in the area of radiation exposure for CT imaging were awarded with a research award from the Behnker-Berger foundation.

Selected Publications (google scholar)

• Hahn, D., Thibault, P., Fehringer, A., Bech, M., Koehler, T., Pfeiffer, F., & Noël, P. B. (2015). Statistical iterative reconstruction algorithm for X-ray phase-contrast CT. Nature Scientific Reports, 5.

• Burger, K., Koehler, T., Chabior, M., Allner, S., Marschner, M., Fehringer, A., ... & Noël, P. B. (2014). Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography. Optics Express, 22(26), 32107-32118.

• Noël, P. B., Renger, B., Fiebich, M., Münzel, D., Fingerle, A. A., Rummeny, E. J., & Dobritz, M. (2013). Does iterative reconstruction lower CT radiation dose: evaluation of 15,000 examinations. PLOS ONE, 8(11), e81141.

• Noël, P. B., Fingerle, A. A., Renger, B., Münzel, D., Rummeny, E. J., & Dobritz, M. (2011). Initial performance characterization of a clinical noise–suppressing reconstruction algorithm for mdct. American Journal of Roentgenology, 197(6), 1404-1409.

• Noël, P. B., Walczak, A. M., Xu, J., Corso, J. J., Hoffmann, K. R., & Schafer, S. (2010). GPU-based cone beam computed tomography. Computer methods and programs in biomedicine, 98(3), 271-277.