Note, we are no longer accepting applications to this program.
The application of microelectronic circuitry, high performance processors, and improved algorithms based on advanced mathematics has resulted in innovative new methodologies to acquire and process image data, permitting visualization, quantification, and functional analysis of tissues and organs. This 4-course graduate Certificate Program in Biomedical Engineering provides engineering professionals with an interdisciplinary approach to learning about the principals and applications of imaging technology as they relate to the medical industry.
Available entirely online!
- 16.511 Medical Diagnostic Imaging (IB.511)
- 16.560 Biomedical Instrumentation (IB.560)
Electives (choose 2):
- 16.510 Digital Signal Processing (IB.510)
- IB.500 Introduction to Biomedical Engineering and Biotechnology
- IB.512 Medical Image Processing
- IB.516 Principles of Magnetic Resonance Imaging
- IB.517 Embedded System Design in Medical Systems
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Completion rates, median loan debts and program costs are outlined for each certificate program.
IB.500 Introduction to Biomedical Engineering and Biotechnology
Team-taught introductory course that emphasizes a multidisciplinary approach to current topics in the range of academic disciplines and gives students their first exposure to faculty research areas. The course, as mucha as possible, will involve faculty from within Biomedical Engineering and Biotechnology. The course, as much as possible, involves faculty from all participating campuses. Speakers from industry are also invited to present topics of contemporary importance. 3 credits.
IB.512 Medical Image Processing
The focus of Medical Image Processing will be on post-acquisition medical image processing. We will cover techniques for processing n-d medical images. There will be an engineering emphasis rather than rigorous investigation of algorithms and theory. There will be homework or projects that will require use of software tools such as (Image) (for fundamentals), Matlab or ITK (for filtering). Mimics (for segmentation). 3 credits.
IB.516 Principles of Magnetic Resonance Imaging
The goal of this course is to provide the student with a general understanding of the physical principles of magnetic resonance imaging (MRI) and the instrumentation used to create a magnetic resonance image. This goal will be sought without deep exploration of any particular physical science or mathematical discipline. Background knowledge in freshman- level science and mathematics courses is assumed. The topics to be covered in this course include: 1) theoretical and experimental aspects of MRI and their application to problems in medicine and biology, 2) physical principles underlying the generation and detection of the nuclear magnetic resonance signal, 3) MRI instrumentation, and 4) Nuclear magnetic resonance relaxation parameters and how they affect contrast in a magnetic resonance image. 3 credits.
IB.517 Embedded System Design in Medical Systems
This course covers the design principles of embedded systems including both the hardware and software aspects. We will introduce the design methodology and cost effectiveness of embedded systems. We will discuss the microprocessor, memory and storage subsystems. The interfacing between the computer system and medical instruments will be reviewed. Firmware, operating systems,programming tools will be considered. The course will have a lab component that includes hands-on exercises of embedded Linux (or RTEMS) in an online virtual laboratory environment. 3 credits.
16.510 Digital Signal Processing
Review of Z-Transforms and solutions of linear difference equations. Digital filter structures, parameter quantization effects and design techniques. FFT and Chirp Z-Transform methods. Discrete Hilbert Transforms, minimum-phase sequences and their application to Homomorphic Signal Processing and calculation of Complex Cepstrum. 3 credits. Special Notes: a.k.a IB.510
16.511 Medical Diagnostic Imaging
This course covers the physics and electrical engineering aspects of how signals are acquired from which images will be formed, and the principal methods by which the signals are processed to form useful medical diagnostic images. Modalities studied include: x-rays, ultra-sound, computed tomography, and magnetic resonance imaging. The principles of signal processing via Fourier transform will be reviewed. Noise and other artifacts that degrade the medical diagnostic of images are considered. MATLAB is heavily used in simulation and verification. 3 credits. Special Notes: a.k.a IB.511
16.560 Biomedical Instrumentation
Analysis and design of Biomedical Instrumentation systems that acquire and process biophysical signals. Properties of Biopotential signals and electrodes; Biopotential Amplifiers and Signal Processing; Basic Sensors and Principles; Medical Imaging Systems; Electrical Safety. 3 credits. Special Notes: a.k.a IB.560
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