For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Pleaserefer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
|Fees||Look up fees|
This subject introduces students to the engineering, physics and physiology of medical imaging, including the history and progression of medical imaging modalities as well as emerging imaging technologies in clinical and research practise. Topics covered include: x-ray, computed tomography, positron emission tomography, magnetic resonance imaging and ultrasound.
Image metrics including signal-to-noise and contrast-to-noise ratios, image resolution, image operations including convolution, filtering and edge detection;
Biophysical principles of X-ray, CT, PET, SPECT, MRI and ultrasound, and the mathematics of image reconstruction for each modality, including filtered backprojection and fourier reconstruction methods;
This material is complemented by the use of software tools (e.g. MATLAB) for data simulation, modelling, image manipulation and reconstruction techniques.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
Having completed this unit the student should be able to:
- Describe the principles of the modalities of medical imaging systems
- Describe the physics and physiology fundamental to these imaging systems
- Apply the mathematics of each imaging modality
- Compute image reconstructions using back-projection methods
- Compute image reconstructions using fourier transform methods
- Identify basic causes of image contrast and artefacts
- Describe clinical applications of each imaging modality
- Apply their knowledge to understanding emerging medical imaging technologies.
On completion of this subject, students should have developed the following generic skills:
- Ability to apply knowledge of science and engineering fundamentals
- Ability to undertake problem identification, formulation, and solution
- Ability to utilise a systems approach to complex problems and to design and operational performance
- Proficiency in engineering design
- Ability to conduct an engineering project
- Ability to communicate effectively, with the engineering team and with the community at large
- Ability to manage information and documentation
- Capacity for creativity and innovation
- Capacity for lifelong learning and professional development.
Last updated: 29 April 2020