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Unit of study_
PHYS5020: Computation and Image Processing
2026 unit information
In this unit, normally undertaken as part of the Masters of Medical Physics degree or the Graduate Diploma in Medical Physics, Monte Carlo modelling of radiation transport is covered, along with the theory of image formation, concepts of computing, numerical methods and image processing, including techniques such as enhancement, registration, fusion and 3D reconstruction, radiomics and an introduction to Machine Learning techniques.
Unit details and rules
Managing faculty or University school:
Science
| Study level | Postgraduate |
|---|---|
| Academic unit | Physics Academic Operations |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Calculus, differential equations, Fourier analysis, linear algebra, complex variables, numerical methods, and basic Python scripting |
At the completion of this unit, you should be able to:
- LO1. Apply basic analysis and processing techniques to medical images in both research and clinical contexts.
- LO2. Develop a radiomics predictive model using Python, incorporating both traditional feature-engineering methods and deep learning approaches.
- LO3. Evaluate the functionality and performance of image registration software used in medical imaging.
- LO4. Explain the theoretical principles, techniques, and clinical applications of image registration in radiotherapy.
- LO5. Apply best practice recommendations to validate and ensure the quality of image registration in medical imaging.
- LO6. Compare different medical image segmentation methods, assess uncertainties in radiotherapy segmentation, and perform basic segmentation tasks.
- LO7. Describe the structure and function of health information systems from national to local health district, hospital and departmental systems.
- LO8. Identify key principles of data security in healthcare and explain their relevance to health information management.
- LO9. Develop an image analysis and processing tool using Python.
- LO10. Evaluate the impact of 4D imaging techniques on motion management.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2026
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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