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.
Study Type | Postgraduate | Level | 5 |
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Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 67 | |
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 33 | |
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Assessment Weeks | Feedback Weeks | |||
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Assignments will be marked within two weeks of submission and appropriate feedback given. |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
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Knowledge Level | Thinking Skill | Outcome |
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Knowledge Level | Thinking Skill | Outcome |
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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. |
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