Last modified: 23 Jul 2024 11:07
This course provides both formal teaching of the fundamentals and hands-on practical work, to build expertise in all aspects of medical image processing and analysis. In addition to learning standard image processing techniques, students are introduced to some of the major software applications used in the Medical Imaging community.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Third Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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Practical work using Matlab, ImageJ and other tools will allow students to develop their expertise in the rapid development of imaging applications. In addition, short project work allows students the opportunity to tackle more significant (and therefore more realistic) standalone imaging-based problems.
Topics covered include image formation, representation, and display; image degradation and restoration; intensity processing; spatial and spectral filtering; simple object and shape recognition; segmentation; pattern recognition; image compression
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 17 | |
|---|---|---|---|---|
| Assessment Weeks | 1 | Feedback Weeks | 5 | |
| Feedback |
Duration: 1 hour Image Processing miniproject sets a series of image-related problems or tasks for which the students must develop solutions, programmed according to their knowledge and understanding of a range of image processing techniques. Online worksheet with feedback provided via MyAberdeen, after marking |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Develop academic writing skills by describing the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition. |
| Procedural | Create | 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 | 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 | Understand | Describe the principles underpinning image registration, segmentation and fusion as applied to multi-modality imaging and image guided procedures. |
| Assessment Type | Summative | Weighting | 66 | |
|---|---|---|---|---|
| Assessment Weeks | 7 | Feedback Weeks | 9 | |
| Feedback |
Since this is the final assessment for the course feedback will typically be provided (in person) to students who need to prepare for a resit. |
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| 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 | Apply | Select and apply current and state-of-the-art image processing and analysis algorithms. |
| Procedural | Create | Develop academic writing skills by describing the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition. |
| Procedural | Create | 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 | 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 | Understand | Describe the principles underpinning image registration, segmentation and fusion as applied to multi-modality imaging and image guided procedures. |
| Assessment Type | Summative | Weighting | 17 | |
|---|---|---|---|---|
| Assessment Weeks | 50 | Feedback Weeks | 2 | |
| Feedback |
Duration: 1 hour 2 Essays - 1,500 words and 2,000 words Students choose one topic from a short list of set titles. Feedback comments provided via MyAberdeen. |
Word Count | 3500 | |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Develop academic writing skills by describing the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition. |
| Procedural | Create | 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 | 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 | Understand | Describe the principles underpinning image registration, segmentation and fusion as applied to multi-modality imaging and image guided procedures. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | 10 | Feedback Weeks | 12 | |
| Feedback |
Since this is the resit (and therefore final assessment) feedback would typically only be provided (in person) if a student were to be granted a further attempt on appeal. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| 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 | Create | Select and apply appropriate techniques for the iconic processing of medical imagery, including intensity processing; image restoration; spatial and spectral filtering; morphological processing |
| Procedural | Understand | Describe the principles underpinning image registration, segmentation and fusion as applied to multi-modality imaging and image guided procedures. |
| Procedural | Create | Develop academic writing skills by describing the results of image analysis and interpretation techniques based on object and shape recognition; segmentation; pattern recognition. |
| Procedural | Evaluate | 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 | Apply | Select and apply current and state-of-the-art image processing and analysis algorithms. |
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