Overview
The master of science in diagnostic imaging program is a multidisciplinary program offered in partnership between the Department of Electrical and Computer Engineering in Arts, Sciences & Engineering, and the Department of Imaging Sciences in the University of Rochester Medical Center. Students in this program will learn both the theory and practice of medical imaging using clinical need as a guiding principle.
This program prepares incoming non-medical students for technical careers in medical imaging. It may also provide them with a stepping stone to a PhD program in clinical research.
For incoming medical students and residents, the program will support their future careers as physician-scientists, providing a flexible and less time-consuming alternative to an MD-PhD track.
Eligibility
Incoming medical and non-medical students should have an undergraduate degree in physics, electrical and computer engineering, biomedical engineering or equivalent. Residents and fellows automatically qualify.
Course Curriculum
This one-year program aims to develop the next generation of medical imaging professionals by teaching students the theory and practice that underpin modern imaging systems, including emerging artificial intelligence techniques.
The curriculum includes core courses in signal and image processing, deep learning, and inverse problems as well as hands-on clinical classes. Students can choose to complete supervised research or select additional electives in advanced imaging techniques for four credits.
Students in this program have the option of following the thesis track (Plan A) or a non-thesis track (Plan B).
By the end of the program, students will understand the:
- Image processing techniques used to enhance interpretability of medical images
- Practical aspects of clinical imaging modalities and to recognize what aspects of imaging are most important to radiologists
- Scientific basis for understanding image formation with emphasis on solutions to inverse problems