A certificate program in Imaging Science & Engineering (IS&E) is offered jointly by the departments of Electrical & Systems Engineering, Computer Science & Engineering, and Biomedical Engineering.

Built on the strengths in imaging science throughout the university, this multidisciplinary program is constructed to expose students to the breadth of imaging research activities at Washington University. The requirements of the program vary by department, but are flexible in allowing students and their advisers to construct academic programs ideally suited to complement their individual research programs. Students in the program are brought together for a joint seminar course, and all students engage in a practicum in imaging science and engineering.

Entering and Completing the Program

Graduate students in participating departments may apply for admission to the IS&E program. Admission requires graduate standing in a participating department, a demonstrated interest in aspects of imaging, and approval of the program director.

Upon being awarded a graduate degree by their home department and by completing certain requirements of the program, students are awarded a certificate indicating their successful participation in the IS&E program. The requirements for receiving a certificate are: acceptance into the IS&E program, completion of four imaging courses approved by the program director, completion of requirements for a graduate degree in the student's home department, and participation in the Imaging Science seminar required for all students in the IS&E program.

Seminars by faculty in imaging science, others at Washington University, and experts from outside the university convey new developments and directions in the field of imaging science and its applications. These seminars also provide the opportunity for interactions among those involved in the program.

Courses of Instruction

Fundamentals underlying imaging science and engineering and the application of these fundamentals to contemporary problems of importance form the theme of the program. Relevant courses come from across the university. The program is flexible, allowing students, in consultation with their advisers and the program director, to design a program that is best for them. Below are representative courses that students in the program take.

Courses in the Imaging Sciences Pathway in the Division of Biology and Biological Sciences Courses in Electrical & Systems Engineering
  • ESE 438 Applied Optics
  • ESE 520 Probability and Stochastic Processes
  • ESE 524 Detection and Estimation Theory
  • ESE 582 Fundamentals and Applications of Modern Optical Imaging
  • ESE 585 Optical Imaging
  • ESE 586A Tomographic Imaging
  • ESE 587 Ultrasonic Imaging Systems
  • ESE 588 Quantitative Image Processing
  • ESE 589 Biological Imaging Technology
  • ESE 591 Special Topics: Biomedical Topics I: Principles
  • ESE 592 Special Topics: Biomedical Topics II: Imaging
  • ESE 596 Seminar in Imaging Science and Engineering (required)

Courses in Biomedical Imaging

  • BME 502 Cardiovascular MRI — Physics to Clinical Application
  • BME 503A Cell and Organ Systems Biology
  • BME 504 Light Microscopy and Optical Imaging
  • BME 506 Seminar in Imaging Science and Engineering (required)
  • BME 530A Molecular Cell Biology for Engineers
  • BME 589 Biological Imaging Technology
  • BME 5907 Advanced Concepts in Image Science
  • BME 591 Biomedical Optics I: Principles
  • BME 592 Special Topics: Biomedical Topics II: Imaging
  • BME 593 Computational Methods for Inverse Problems
  • BME 596 Seminar in Imaging Science and Engineering (required)

Courses in Physics, Chemistry, and Psychology

  • PHYS 534 Magnetic Resonance
  • PHYS 589 Selected Topics in Physics I
  • PHYS 590.1 Seminar-Physics of Ultrasonic Imaging in Cardiovascular Medicine
  • Chem 5762 Electron Spin Resonance and Dynamic Nuclear Polarization
  • Chem 576 Magnetic Resonance
  • Chem 435 Nuclear and Radiochemistry Laboratory
  • Chem 436 Introduction to the Atomic Nucleus
  • Chem 578 Nuclear Magnetic Resonance Spectroscopy
  • Psych 4450 Functional Neuroimaging Methods

Courses in Computer Science & Engineering

  • CSE 517A Machine Learning
  • CSE 546T Computational Geometry
  • CSE 552A Advanced Computer Graphics
  • CSE 554A Geometric Computing for Biomedicine
  • CSE 559A Computer Vision
  • CSE 568M Imaging Sensors
  • CSE 596 Seminar in Imaging Science and Engineering (required)