School of Computer Science

Module 06-22312 (2013)

Imaging and Image Analysis

Level 4/M

Iain Styles Hamid Dehghani Semester 1 10 credits
Co-ordinator: Hamid Dehghani
Reviewer: Robert Hendley

The Module Description is a strict subset of this Syllabus Page.


This module introduces the selected theoretical aspects of imaging sciences, methods of image formation, image analysis methods and practical imaging systems together with their leading-edge applications in biomedical sciences. The stress is on developing an understanding of the generic concepts underpinning the physical processes of imaging, and their practical realisations in specific imaging modalities and imaging systems. The theoretical coverage will include the necessary mathematical tools (e.g. linear systems, Fourier analysis, statistical distributions, Bayes analysis), physics concepts (e.g. wave equations, energy transport, photon counting, noise modelling) and image formation models (e.g. detection and measurement, error propagation, direct and indirect techniques, image reconstruction, parameter estimation). The coverage of practical image analysis techniques will include image segmentation, feature extraction, motion and optic flow analysis, and image classification, with focus on constructing working solutions for specific biomedical image analysis. Topics related to specific imaging modalities and applications will be presented by experts from the University and industry. The module will provide practical experience of using a subset of the techniques, implemented in Matlab. These laboratory/exercise class sessions necessitate and give rise to the higher formal contact hours for this module when compared to some other PSIBS modules.


The aims of this module are to:

Learning Outcomes

On successful completion of this module, the student should be able to:

1 demonstrate understanding of the physical principles of image formation and critically analyse a given imaging system from theoretical point of view

2 independently study key image construction methods and main imaging modalities used in biomedical sciences and demonstrate understanding of the principles of their operation

3 critically analyse research publications in biomedical image analysis

4 identify and justify the main research challenges of biomedical imaging for the selected modalities from the analysis of original research sources

5 develop a working image analysis system by identifying, justifying and applying suitable image analysis methods to real image data arising from biomedical research


Compulsory for PhD with Integrated Studies in Physical Sciences of Imaging in the Biomedical Sciences.

Teaching methods

Lectures, seminars, exercise/laboratory classes and small group discussions

Contact Hours: 32


Sessional: continuous assessment (portfolio of laboratory/exercise coursework) (30%), Oral examination (70%)

Supplementary (where allowed):

Detailed Syllabus

Not applicable

Programmes containing this module