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Last modified: 20 Jun 2019 12:35

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; simple object and shape recognition; segmentation; pattern recognition; image compression.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Foresterhill Sustained Study No
  • Mr George Cameron

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

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

What other courses must be taken with this course?


What courses cannot be taken with this course?


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

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. Practical work using Matlab, ImageJ and other tools allows 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.

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Lecture during University weeks 25 - 27, 29, 34
  • 2 Lectures during University weeks 28, 30 - 33
  • 1 Practical during University weeks 26 - 33
  • 1 Tutorial during University week34

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

1 90 minutewritten examination (66.67%); continuous assessment (33.33%).

Resit: 1 x 90 minute written examination (100%).

Formative Assessment

There are no assessments for this course.


Assignments will be marked within two weeks of submission and appropriate feedback given.

Course Learning Outcomes


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