Imaging & Medical Devices Focus Area Curriculum Requirements












Imaging and Medical Devices, although being distinct disciplines, experience substantial overlap and enjoy significant synergies in our department. Course-based and research opportunities span fundamental development of imaging technologies, incorporation of these technologies into instruments, and translation into the clinic. In addition to collecting anatomical data, I&MD students will learn how data analysis and computer simulations can be used to generate truly functional images that allow a physician to understand an organ or tissue from the smallest scale to the systems level.  A more detailed perspective on biomedical imaging in our department, including a list of faculty, is provided here.

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)
  • 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.