BP5905: Medical Image Processing And Analysis

BP5905: MEDICAL IMAGE PROCESSING AND ANALYSIS (2022-2023)

Last modified: 24 Aug 2022 11:55

Course Overview

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.

Course Details

Study Type	Postgraduate	Level	5
Term	Third Term	Credit Points	15 credits (7.5 ECTS credits)
Campus	Aberdeen	Sustained Study	No
Co-ordinators	Mr George Cameron

What courses & programmes must have been taken before this course?

Any Postgraduate Programme (Studied)
Either MSc Medical Physics (Studied) or MSc Medical Imaging (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

Course Description

To develop a sound theoretical background in the fundamental techniques used in medical image processing and analysis.
To augment this basis by introducing some of the newest and state-of-the-art techniques in this area.
To gain experience in applying a range of these techniques to practical problems.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 21st September 2026 for Term 1 and Full Year courses and 8th January 2027 for Term 2 courses.

Summative Assessments

Exam

Assessment Type	Summative	Weighting	66
Assessment Weeks		Feedback Weeks		Look up Week Numbers
Feedback

Learning Outcomes

Sorry, we don't have this information available just now. Please check the course guide on or with the Course Coordinator
Knowledge Level	Thinking Skill	Outcome

Coursework 1

Assessment Type	Summative	Weighting	17
Assessment Weeks		Feedback Weeks		Look up Week Numbers
Feedback	Assignments will be marked within two weeks of submission and appropriate feedback given.

Learning Outcomes

Sorry, we don't have this information available just now. Please check the course guide on or with the Course Coordinator
Knowledge Level	Thinking Skill	Outcome

Coursework 2

Assessment Type	Summative	Weighting	17
Assessment Weeks		Feedback Weeks		Look up Week Numbers
Feedback	Assignments will be marked within two weeks of submission and appropriate feedback given.

Learning Outcomes

Sorry, we don't have this information available just now. Please check the course guide on or with the Course Coordinator
Knowledge Level	Thinking Skill	Outcome

Formative Assessment

There are no assessments for this course.

Resit Assessments

Exam

Assessment Type	Summative	Weighting	100
Assessment Weeks		Feedback Weeks		Look up Week Numbers
Feedback

Learning Outcomes

Sorry, we don't have this information available just now. Please check the course guide on or with the Course Coordinator
Knowledge Level	Thinking Skill	Outcome

Course Learning Outcomes

Knowledge Level	Thinking Skill	Outcome
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 appropriate techniques for the iconic processing of medical imagery, including intensity processing; image restoration; spatial and spectral filtering; morphological processing.
Procedural	Analyse	Select and apply current and state-of-the-art image processing and analysis algorithms.
Conceptual	Understand	Discuss the basis of image formation, image representation, and image display parameters, and the different sources and causes of image degradation.

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