Full course description
This course builds upon the foundations of Engineering in Medical Imaging in the Clinical Service Engineering certificate, to walk through the operation and implementation of medical imaging systems in a clinical environment, particularly focusing on configuring equipment, designing operational workflows, programming and networking systems, managing data through complex interfaces, and analyzing images.
Pre-requisites: Engineering in Medical Imaging 1 and 2
At the end of the course, students should be able to:
- Diagram, and explain using words and theory, the circuit implementation for X-Ray detectors.
- Describe common noise problems in detector systems and explain the root cause and solutions for each.
- Demonstrate the appropriate use of noise reduction techniques for a given noise problem.
- Explain, using words and diagrams, the various networking methods used to connect and transfer medical image data from or between medical imaging systems and workstations.
- Demonstrate how to correctly network imaging systems using Windows Server and DICOM.
- Explain, using words and diagrams, the overarching image process and analysis framework through which medical images are acquired and reviewed.
- Describe, using words, diagrams, and theory, the primary types of image/video processing and analysis methods, how they function, and how they relate to each other.
• Noise Sources & Mechanisms
• Networking Basics
• Linux Operating System
• Medical Image Processing
• MATLAB for Medical Image Processing
• Introduction to medical images
• Image segmentation
• Image registration
Instructor: Prof. Changyu Sun
MU Extension Contacts: Sarah Rielley and Jonathan Mack
Biomedical, Biological, and Chemical Engineering
45 continuing education hours (4.5 continuing education units); no academic credit