The Graduate Programs in Medical Physics at the University of Chicago offers research training that leads to the Doctor of Philosophy degree as well as postdoctoral training. Students working toward a graduate degree in medical physics are expected to have completed training equivalent to that required for the S.B. degree in the Department of Physics at this University. Postdoctoral trainees are selected from candidates with the Ph.D. degree in Physics or equivalent fields. Primary areas of research interests by the program faculty include four components: Physics of Diagnostic Radiology, Physics of Nuclear Medicine, Physics of Magnetic Resonance Imaging/Spectroscopy, and Physics of Radiation Therapy. Unique features of this program are the faculty's focused effort on research in medical imaging and radiation oncology, and on the training of high-level medical physicists. Trainees are required to take course work, participate in seminars and journal club meetings, assist in research projects, and complete research under supervision of a faculty member. Research projects may be theoretical or experimental studies in digital radiography, diagnostic performance, computer-aided diagnosis, magnetic resonance imaging and spectroscopy, nuclear medicine imaging, positron emission tomography, computer applications in radiation therapy, dose computation and verification, multi-modality image correlation, or dosimetry. All trainees take a cancer and radiation biology courses, participate in programs related to responsible conduct of research, and serve as teaching assistants. The number of current program faculty is 22. The number of current trainees includes 30 pre-doctoral students and six post-doctoral trainees. The number of trainees for which funding is requested is eight per year at the pre-doctoral level (4 first-year and 4 second-year trainees per year), and 2 per year postdoctoral level. It should be noted that this is a competitive renewal application, written at the end of the 19th year of the medical physics training grant that initiated in NCI and transferred to NIBIB, which has funded the program since 2003 including the last successful NIBIB competitive renewal review and 5-year funding period of Yrs 16-20.
The increasing use of biomedical imaging, image-guided interventions, and radiation therapies in medicine and the increasing interest in medical research serve to increase the demand for medical physicists. Thus, there is a clear need for training of medical physicists. This is the rationale for our proposed research training program.
|Liu, Xinmin; Pelizzari, Charles; Belcher, Andrew H et al. (2017) Use of proximal operator graph solver for radiation therapy inverse treatment planning. Med Phys 44:1246-1256|
|Rigie, David S; Sanchez, Adrian A; La Rivière, Patrick J (2017) Assessment of vectorial total variation penalties on realistic dual-energy CT data. Phys Med Biol 62:3284-3298|
|Belcher, Andrew H; Liu, Xinmin; Chmura, Steven et al. (2017) Towards frameless maskless SRS through real-time 6DoF robotic motion compensation. Phys Med Biol 62:9054-9066|
|Quigley, Bryan P; Smith, Corey D; Cheng, Shih-Hsun et al. (2017) Sensitivity evaluation and selective plane imaging geometry for x-ray-induced luminescence imaging. Med Phys 44:5367-5377|
|Anthony, Gregory J; Cunliffe, Alexandra; Castillo, Richard et al. (2017) Incorporation of pre-therapy 18 F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis. Med Phys 44:3686-3694|
|Wu, Yicong; Kumar, Abhishek; Smith, Corey et al. (2017) Reflective imaging improves spatiotemporal resolution and collection efficiency in light sheet microscopy. Nat Commun 8:1452|
|Antropova, Natalia; Huynh, Benjamin Q; Giger, Maryellen L (2017) A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys 44:5162-5171|
|Burnside, Elizabeth S; Drukker, Karen; Li, Hui et al. (2016) Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer 122:748-57|
|Kim, H; Chen, C-T; Eclov, N et al. (2016) A Silicon Photo-multiplier Signal Readout Using Strip-line and Waveform Sampling for Positron Emission Tomography. Nucl Instrum Methods Phys Res A 830:119-129|
|Wiersma, Rodney D; McCabe, Bradley P; Belcher, Andrew H et al. (2016) Technical Note: High temporal resolution characterization of gating response time. Med Phys 43:2802-2806|
Showing the most recent 10 out of 49 publications