COLLEGE OF MEDICINE AND HEALTH
Medicine, Nursing and Allied Health Professions

Description

Digital Image Processing for Radiographers

Module titleDigital Image Processing for Radiographers
Module codePAM3012
Academic year2020/1
Credits15
Module staff

Dr Clare Thorn (Convenor)

Dr Rachel Palfrey (Convenor)

Duration: Term123
Duration: Weeks

9

Number students taking module (anticipated)

51

Description - summary of the module content

Module description

In this module, you will integrate theory with practice by drawing on your prior experience of imaging modalities, and re-interpreting your knowledge of imaging within a mathematical and scientific framework.

You will develop a level of mathematical skill sufficient to analyse complex waveforms and appreciate the statistical consequences of the information stored in an image. You will develop a knowledge of the underlying algorithms used by image manipulation tools and the extent to which the use of these affect the qualities of the image.

Module aims - intentions of the module

Through undertaking this module, you will learn how each and every component of the imaging chain, from presentation of patient through to the interpretive skills of the radiographer/radiologist can affect the predictive diagnostic capabilities of a method.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. Show that complex waveforms can be decomposed into sinusoidal waveforms;
  • 2. Discuss the implications of image perception for medical imaging;
  • 3. Quantify predictive diagnostic imaging capability using various mathematical concepts;
  • 4. Solve complex problems involving digital imaging systems;
  • 5. Identify causes of noise in digital imaging systems and methods of minimisation;
  • 6. Predict the performance of a digital imaging systems from its specifications;
  • 7. Show how various image manipulation algorithms can improve the diagnostic quality of an image;
  • 8. Discuss applications of image co-registration;

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 9. Use mathematical skills to solve problems;
  • 10. Use appropriate sources of information to develop own knowledge;

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 11. Manage time and prioritise workloads.
  • 12. Demonstrate basic problem-solving skills;

Syllabus plan

Syllabus plan

Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follows:

 

Advanced mathematical skills

Outline of 1D Fourier techniques: decomposition and reconstruction.

Fourier techniques in 2D and 3D.

Statistical concepts: distributions, variance and uncertainty.

Image perception

Outline of visual psychophysics.

Spatial and grey-scale resolution.

Colour scales and colour displays.

Practical considerations: brightness and contrast of display, observation distance, lighting conditions, etc...

Detection of pathology: sensitivity, specificity, predictive value.

Discrimination index and ROC curves.

Image quality

Technical evaluation of images: Spatial resolution, SNR, CNR, grey-scale histograms, etc.

Acceptability of images in the clinical context.

Time-quality and dose-quality trade-offs.

Image Acquisition and Processing

Analog-to-digital converters, sampling.

Storage: DICOM and PACS

Windowing and similar grey-scale manipulations

Histogram equalisation.

Spatial and frequency domain filtering

Image restoration

Image co-registration

Volume rendering and other 3D visualisations.

Developments and Trends

Telemedicine and Teleradiology, Health online

Computerised pattern recognition

Future Imaging Modalities

Learning and teaching

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
301200

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled learning and teaching activities2121x1-hour lectures
Scheduled learning and teaching activities93x3-hour computer practicals
Guided independent study120Reading, private study and revision

Assessment

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Computer-based3x3 hour lab session1-12Marks returned and discussed in tutorials

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
01000

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
In-class test401 hour1-11Marks returned and discussed in tutorials
Written examination6090 minutes1-11iExeter and ELE
0
0
0
0

Re-assessment

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Written examination (60%)Written examination (90 minutes)1-11August/September assessment period
In-class test (40%) Written examination (60 minutes)1-11August/September assessment period

Re-assessment notes

In the event of a student deferring the in-class test, a separate test would be sat as soon as practically possible, or at the latest during the May assessment period.

 

In the event of a student failing the module as a result of failure of either the in-class test or written examination, or both, the referral assessment will be a single written examination that makes up 100% of the module mark.

 

In the event of a student deferring the written examination, they will sit the same examination as the referred students, but this will be combined with their in-class test to make their final module mark.

Resources

Indicative learning resources - Basic reading

Not applicable

Indicative learning resources - Web based and electronic resources

http://vle.exeter.ac.uk/

Module has an active ELE page

Indicative learning resources - Other resources

  • Dougherty, G. (2009), Digital Image Processing for Medical Applications,Cambridge University Press, ISBN 9780511532528
  • Gonzalez R.C. and Woods R.E. (2017), Digital Image Processing (4th edition), Pearson Education, ISBN 9781292223049
  • Oakley J. (2006), Digital Imaging, A Primer for Radiographers, Radiologists and Health Care Professionals, Cambridge University Press, ISBN 1-841-10121-4

Key words search

Medical Imaging; Imaging; Quality; Scales; Imaging systems; Systems; Waveforms; Manipulations; Grey; Spatial; Histogram.

Credit value15
Module ECTS

7.5

Module pre-requisites

PAM1017, PAM2003, PAM2004

NQF level (module)

6

Available as distance learning?

Yes

Origin date

01/09/2004

Last revision date

24/07/2019