? The Graduate Programs in Medical Physics at the University of Chicago offers research training at three levels that lead to the Master of Science degree, to the Doctor of Philosophy degree, and 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 the University of Chicago. 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: Physics of Diagnostic Radiology, Physics of Nuclear Medicine, Physics of Magnetic Resonance Imaging/Spectroscopy, and Physics of Radiation Therapy. Major research facilities are the Frank Center for Image Analysis, the Kurt Rossmann Laboratories for Radiology Image Research, the Goldblatt MRI Center, the NMR labs, and the Scientific Visualization & Image Analysis Core Facility in the Department of Radiology, and the Medical Physics Division in the Department of Radiation & Cellular Oncology. 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. Students and trainees are required to take course work, participate in seminars and journal club meetings, assist in research projects, and complete a research project 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, image reconstruction, nuclear medicine imaging, positron emission tomography, computer applications in radiation therapy, dose computation and verification, multi-modality image correlation, or dosimetry. Beyond the medical physics core courses, all trainees take an ethics course on the responsible conduct of research and serve as teaching assistants. The number of current program faculty is 22. The number of current predoctoral students is 18. There are two NIH postdoctoral trainees in the program at the present. The number of trainees for which funding is requested is four per year at the predoctoral level (2 first-year and 2 second-year trainees per year), and 2 per year postdoctoral level. It should be noted that this is a competitive renewal application, written in the 14th year of a medical physics training grant that initiated in NCI and was transferred recently to NIBIB. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB002103-19
Application #
7425395
Study Section
Special Emphasis Panel (ZEB1-OSR-B (S))
Program Officer
Baird, Richard A
Project Start
1990-06-01
Project End
2010-04-30
Budget Start
2008-05-01
Budget End
2009-04-30
Support Year
19
Fiscal Year
2008
Total Cost
$324,462
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Haddad, Christopher W; Drukker, Karen; Gullett, Rebecca et al. (2018) Fuzzy c-means segmentation of major vessels in angiographic images of stroke. J Med Imaging (Bellingham) 5:014501
Anthony, Gregory J; Bader, Kenneth B; Wang, James et al. (2018) MRI-guided transurethral insonation of silica-shell phase-shift emulsions in the prostate with an advanced navigation platform. Med Phys :
Grelewicz, Zachary; Belcher, Andrew H; Wiersma, Rodney D (2018) Use of a laser-guided collimation system to perform direct kilovoltage x-ray spectra measurements on a linear accelerator onboard imager. Med Phys 45:4869-4876
Mendel, Kayla; Li, Hui; Sheth, Deepa et al. (2018) Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Acad Radiol :
Bader, Kenneth B (2018) The influence of medium elasticity on the prediction of histotripsy-induced bubble expansion and erythrocyte viability. Phys Med Biol 63:095010
Mendel, Kayla R; Li, Hui; Lan, Li et al. (2018) Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems. J Med Imaging (Bellingham) 5:011002
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
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
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
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

Showing the most recent 10 out of 55 publications