- Code MEDN6820
- Unit Value 6 units
- Offered by John Curtin School of Medical Research
- ANU College ANU Joint Colleges of Science
- Course subject Medical Science
- Areas of interest Medical Science, Neuroscience, Biotechnology, Biomedical Science
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.
Note: Graduate students attend joint classes with undergraduates but are assessed separately
Upon successful completion, students will have the knowledge and skills to:
- Evaluate the operation and function of different biomedical imaging instruments on molecules, cells and organs.
- Describe and apply the principles of advanced biomedical imaging concepts and their application in health sciences.
- Analyse the limitation of each biomedical imaging modalities and also how they complement each other for molecular, cellular and organ-level systems.
- Apply advanced image processing to quantify biomedical images, critique the factors that contribute to analysis and evaluate their effectiveness.
- Understand, analyse and evaluate major biomedical imaging modalities used in health sciences and outline its therapeutic aims.
- Evaluate the research methods and outcomes from selected scientific publications related to the course curriculum.
For permission code to enrol in this course, please email email@example.com
- Tutorial Quizzes (15) [LO 1,2,3,4]
- Presentation (15) [LO 1,2,6]
- Image Processing Project (20) [LO 2,4,5]
- Report (15) [LO 1,2,6]
- Final Exam (35) [LO 1,2,3,4,5]
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The expected workload will consist of approximately 130 hours throughout the session including:
- Face-to face component which may consist of 2 x 1 hour of lectures per week, 1 x 1.5 hour tutorial per week throughout the session plus 1 practical session, total to 45 hours.
- Approximately 85 hours of group work/data analysis and self directed study which will include preparation for lectures, presentations, group work reports and other assessment tasks.
Students are expected to actively participate and contribute towards discussions.
Requisite and Incompatibility
You will need to contact the John Curtin School of Medical Research to request a permission code to enrol in this course.
To enrol in this course you must be enrolled in either the Master of Neuroscience or Master of Neuroscience (Advanced), or have a cognate bachelor degree with a molecular and cell biology component
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6933||24 Jul 2023||31 Jul 2023||31 Aug 2023||27 Oct 2023||In Person||N/A|