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Unit of study_
PHYS5020: Computation and Image Processing
2025 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, and basic Python scripting |
At the completion of this unit, you should be able to:
- LO1. demonstrate an understanding of basic analysis and processing techniques for medical imaging in research and clinical environments
- LO2. demonstrate an understanding of the basics of Python and use it for the development of a radiomics predictive model using both traditional feature-engineering methods as well as deep learning approaches
- LO3. demonstrate an understanding and analysing of image registration software
- LO4. demonstrate an understanding of the theory, techniques and applications for image registration in the context of radiotherapy
- LO5. demonstrate an understanding of the best practice recommendations regarding the validation and quality assurance of image registration for medical images
- LO6. demonstrate an understanding of the different methods of medical image segmentation, uncertainties associated with image segmentation in radiotherapy, and practical experience performing image segmentation
- LO7. demonstrate an understanding of the hierarchy of health information systems from National through state to Local Health District, Hospital and Departmental systems
- LO8. demonstrate an understanding of basic appreciation for the importance of data security in healthcare
- LO9. demonstrate an understanding of general algorithm for modeling particle transport & how this applies to photons/electrons
- LO10. Demonstrate an understanding of the physics of MRI
- LO11. demonstrate an understanding of general properties of Monte Carlo methods and their use in medical physics
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 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
