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John Curtin School of Medical Research · ANU College of Science and Medicine
This course introduces the broad concepts of biomedical imaging across a range of modalities. It provides a foundation towards the understanding of how modern biomedical imaging technologies generate multi-dimensional data for analysis and diagnosis. Key technologies covered include: XRay, CT, MRI, FMRI, Ultrasound, light microscopy, and medical imaging processing. Application of the biomedical images used to interpret biological process and diagnostics disease will also be discussed in small groups. Hands-on practical laboratory visits to cutting edge advanced bioimaging systems will be available to reinforce the lecture material, and quantitative imaging processing in the context of basic research and clinical settings will be covered.
Tutorial - Critical Analysis
Learning outcomes 1, 2, 3, 4, 5
Computer Lab
Learning outcomes 2, 4, 5
Individual Presentation and Individual Report
Learning outcomes 1, 2, 3, 6
Lab Visit Quiz
Learning outcomes 1, 3, 5
Written Examination - In Person
Learning outcomes 1, 2, 3, 5, 6
Workload The expected workload will consist of approximately 130 hours throughout the semester including: - 12 hours of video lectures, 6 hours of real-time online computer classes (6 x 1-hour not recorded) and 12 hours of in-person tutorials (1 x 1-hour per week; not recorded) and lab activities (1 x 2-hour lab; not recorded). - Approximately 100 hours of self directed study which will include preparation for lectures and tutorials, course reading, online quizzes, and other assessment tasks. Students are expected to review video material and undertake readings before attending in-person classes, and to contribute towards discussions during tutorial, computer and revision classes.
- Samei, E., and Pfeiffer, D.E. (2020). Clinical Imaging Physics: Current and Emerging Practice, 1 edn (Newark: John Wiley & Sons, Incorporated). - Introduction to biomedical imaging, Webb, Andrew (Andrew G.) Institute of Electrical and Electronics Engineers. Imaging systems in medicine