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Unit of study_

PHYS5020: Computation and Image Processing

2024 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:

Physics Academic Operations

Code PHYS5020
Academic unit Physics Academic Operations
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Students should have basic undergraduate level physics and maths

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 properties of Monte Carlo methods and their use in medical physics
  • LO10. demonstrate an understanding of general algorithm for modeling particle transport & how this applies to photons/electrons
  • LO11. Demonstrate an understanding of the physics of MRI

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 ? 
Semester 2 2024
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 2 2020
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Remote
Semester 2 2022
Normal day Camperdown/Darlington, Sydney
Semester 2 2022
Normal day Remote
Semester 2 2023
Normal day Camperdown/Darlington, Sydney

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.