Last modified: 01 Oct 2019 12:00
Image processing and analysis includes many tools and techniques widely used in the field of Medical Imaging. Topics covered in this course include image formation, representation and display; image degradation and restoration; intensity processing; spatial and spectral filtering; image registration and fusion; simple object and shape recognition; segmentation; pattern recognition; image compression; 3D and 4D image rendering.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Information on contact teaching time is available from the course guide.
|Assessment Weeks||Feedback Weeks|
Assignments will be marked within two weeks of submission and appropriate feedback given.
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Conceptual||Understand||Discuss the basis of image formation, image representation, and image display parameters, and the different sources and causes of image degradation.|
|Procedural||Analyse||Select and apply appropriate techniques for the iconic processing of medical imagery, including intensity processing; image restoration; spatial and spectral filtering; morphological processing.|
|Procedural||Evaluate||Apply and evaluate the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition.|
|Procedural||Analyse||Analyse the major methods of image compression and their limitations, and discuss the essential requirements when such techniques are applied in the field of medical imaging.|
|Procedural||Analyse||Select and apply current and state-of-the-art image processing and analysis algorithms.|
|Conceptual||Analyse||Describe the principles underpinning image registration, segmentation and fusion as applied to multi-modality imaging and image guided procedures.|