Peter B. Noël, M.S., Ph.D.

faculty photo
Associate Professor of Radiology
Director of CT Research, Department of Radiology
Member, Penn Center for Musculoskeletal Disorders
Member, Institute for Translational Medicine and Therapeutics
Member, Center for Advanced Computed Tomography Imaging Services
Co - Director , Center for Imaging Research with Radiation in Radiology (CIR³)
Full Member, Abramson Cancer Center of the University of Pennsylvania
Department: Radiology

Contact information
Hospital of the University of Pennsylvania
Department of Radiology
3400 Spruce Street, One Silverstein
Philadelphia, PA 19104
Office: +1 (215) 898-8212
Education:
B. Eng. (Biomedical Engineering)
Technische Hochschule Mittelhessen, Gießen, Germany, 2003.
M. Eng. (Biomedical Engineering)
Technische Hochschule Mittelhessen, Gießen, Germany, 2004.
M.S. (Computer Science and Engineering)
University at Buffalo, The State University of New York, Buffalo, NY, United States, 2007.
Ph.D. (Computer Science and Engineering)
University at Buffalo, The State University of New York, Buffalo, NY, United States, 2009.
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Description of Research Expertise

Dr. Noël’s primary research interests currently include spectral imaging with photon-counting detectors, advanced x-ray tube concepts, phase-contrast & darkfield imaging, reconstruction approaches, and the clinical translation of advanced technologies. His work has found application in oncology, pulmonary disease, cardiovascular disease, and osteoporosis screening. Dr. Noël’s publication record not only includes more than 175 peer-reviewed publications in international journals but also a patent portfolio in the areas of x-ray and CT imaging. He has been named to the editorial board of European Radiology for the medical physics section and is member of both national and international scientific organizations.

Undergraduates and master's students, as well as prospective graduate students and postdoctoral fellows are encouraged to email Dr. Noël if interested in working in the Laboratory for Advanced Computed Tomography Imaging.

Selected Publications

Li, A. T., Noël, P. B., & Shapira, N.: Automatic bolus tracking in abdominal CT scans with convolutional neural networks. Quantitative Imaging in Medicine and Surgery 2023 Notes: https://doi.org/10.21037/qims-22-686.

Liu, L. P., Hwang, M., Hung, M., Soulen, M. C., Schaer, T. P., Shapira, N., & Noël, P. B. : Non-invasive mass and temperature quantifications with spectral CT. Scientific Reports 2023 Notes: https://doi.org/10.1038/s41598-023-33264-2.

Mei, K., Pasyar, P., Geagan, M., Liu, L. P., Shapira, N., Gang, G. J., ... & Noël, P. B. : Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging. Scientific Report 2023 Notes: https://doi.org/10.1038/s41598-023-44602-9.

Shi, S. Q. Z., Shapira, N., Noël, P. B., & Meyer, S. : Convolutional neural network-based single-shot speckle tracking for x-ray phase-contrast imaging.  arXiv preprint 2023 Notes: https://doi.org/10.48550/arXiv.2305.01871.

Liu, L. P., Shapira, N., Sahbaee, P., Gang, G. J., Knollman, F. D., Chen, M. Y., Litt, H., & Noël, P. B.: Stability of spectral results in cardiac dual-source photon-counting CT. Scientific Reports 2023 Notes: https://doi.org/10.1101/2022.12.07.22283222.

Haghighi, B., Horng, H., Noël, P. B., Cohen, E., Pantalone, L., Vachani, A., ... & Kontos, D.: Radiomic phenotyping of the lung parenchyma in a lung cancer screening cohort. Scientific Reports 13(1), 2023 Notes: https://doi.org/10.1038/s41598-023-29058-1.

Shapira, N., Donovan, K., Mei, K., Geagan, M., Roshkovan, L., Gang, G., Abed, M., Linna, N.,, Cranston, C., O'Leary, C., Dhanaliwala, A., Kontos, D., Litt, H.I., Stayman, J.W., Shinohara, R.T., & Noël, P. B. : PixelPrint: Three-dimensional printing of realistic patient-specific lung phantoms for validation of computed tomography post-processing and inference algorithms.  PNAS Nexus 2023 Notes: https://doi.org/10.1093/pnasnexus/pgad026.

Sauter, A. P., Proksa, R., Knipfer, A., Reischl, S., Braren, R. F., Nadjiri, J., Kopp, K., Noël, P. B., Makowski, M., Rummeny, E. J., & Fingerle, A. A.: CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection. Cardiovascular and Interventional Radiology 2023 Notes: https://doi.org/10.1007/s00270-023-03550-7.

Liu, L. P., Pua, R., Rosario-Berrios, D. N., Sandvold, O. F., Perkins, A. E., Cormode, D. P., Shapira, N., Soulen, M., & Noël, P. B.: Reproducible spectral CT thermometry with liver-mimicking phantoms for image-guided thermal ablation. medRxiv 2023 Notes: https://doi.org/10.1101/2023.10.04.23296423.

Tivnan, M., Gang, G. J., Wang, W., Noël, P.B., Sulam, J., & Webster Stayman, J.: Tunable neural networks for CT image formation.  Journal of Medical Imaging 2023 Notes: https://doi.org/10.1117/1.JMI.10.3.033501.

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Last updated: 11/22/2023
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