Visualization and Image Analysis

Synopsis

This course compromises fundamental principles, underlying theories and detailed discussions of innovative imaging methods, novel visualisation techniques, new processing algorithms, image modelling, and biomedical applications useful in medical training.

Level: 3
Credit Units: 5
Presentation Pattern: Every July

Topics

Introduction to Imaging Science and Image Acquisition
Image Representation, Display, Communications and Databases
Image Visualization
Image Processing and Analysis
Biomedical Application: Functional Thermal Imaging
Biomedical Applications Cardiac Motion Analysis from MRI and CT

Learning Outcome

Demonstrate specific skills such as latest innovative imaging methods, and novel visualization techniques
Examine the role of IT in a variety of contexts for visualization and image analysis;
Use key mathematical concepts, methods, theories and visualization techniques necessary to support the areas of biomedical imaging
Recommend suitable imaging analysis tools for clinical and biological applications.
Solve problems using related visualization /imaging software tools relevant to the area of study
Appraise the use of and developments in area of visualization and medical image analysis.
Organize and manage own learning and performance to suit own situation and style
Prepare a clear project report in a given format using appropriate technical language

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Visualization and Image Analysis

Visualization and Image Analysis (BME359)

Synopsis

Topics

Learning Outcome