Imaging & Medical Devices involves the measurement of spatial and temporal distributions and signals over scales ranging from molecules and cells to organs and whole populations. Combining mathematics, physics, and biological systems with engineering of new devices and computational algorithms, our academic and research programs in Imaging & Medical Devices center on new technologies and data-intensive analysis.
Our curriculum in Imaging & Medical Devices spans mathematical fundamentals, physics of imaging technologies, device design and development based on clinical needs, and computational techniques for image processing and analysis. In addition to learning about real clinical systems and data students learn data analysis, modeling, and computer simulation methods. Hands-on experiences in the classroom, research lab, and clinical settings tie education to practical real-world scenarios.
Below, you will find a suggested list of courses to help you in your course planning. Students are expected to complete at least two of the core focus area courses. Your academic interests determine the remaining courses (focus area electives). You will meet with the faculty lead of your chosen focus area to determine your course plan. The program administrator will provide additional advisement and course approval. Please note that all listed courses are suggested and may not always be offered. Course offerings are subject to change from semester-to-semester.
I&MD focus area students are expected to complete at least two of the following “core” courses:
- Imaging Instrumentation (EN.580.693)
- Medical Imaging Systems (EN.520.632)
- Principles of the Design of Biomedical Instrumentation (EN.580.771)
- Surgery for Engineers (EN.580.740)
- X-ray Imaging and Computed Tomography (EN.580.679)
I&MD students will complete additional electives selected from the following list (choose at least three of these courses):
- Applied Bioelectrical Engineering I (EN.580.635)
- Applied Bioelectrical Engineering II (EN.580.636)
- Biomedical Photonics I (EN.580.678)
- Biomedical Photonics II (EN.580.788)
- Computer Integrated Surgery I (EN.601.655)
- Computer Integrated Surgery II (EN.600.646)
- Introduction to Neuro-Image Processing (EN.580.674)
- Introduction to Rehabilitation Engineering (EN.580.656)
- Introduction to Rehabilitation Engineering: Design Lab (EN.580.457)
- Machine Learning for Signal Processing (EN.520.612)
- Medical Image Analysis (EN.520.623)
- Modern Optical Microscopy: Theory and Practice (EN 580.689)
- Neural Implants and Interfaces (EN.580.742)
- Robot Devices, Kinematics, Dynamics, and Control (EN.530.646)
- Surgineering: Systems Engineering and Data Science in Interventional Medicine (EN.580.750)
- Ultrasound and Photoacoustic Beamforming (EN.520.631)
Students will select additional graduate level science, technology, engineering, or math courses with the consent of their advisor to complete the total of 30 credits required for graduation.