Outline

Overview

This Unit of Study explores the application of standard Magnetic Resonance Imaging(MRI) sequences, protocols, and techniques used in clinical musculoskeletal imaging. These techniques include variations of spin echo, gradient echo, and inversion recovery. MRI hardware, RF coils, spatial encoding, fat suppression techniques, and common image artifacts are reviewed. MR safety aspects from the perspective of both staff and patients are discussed. Learning is supported by relevant website and video resources together with peerreviewed clinical and research publications to demonstrate the appropriate application of different MR sequences and modifications required for a range of MSK patient presentations.

Unit details and rules

Academic unit	Clinical Imaging
Credit points	6
Prerequisites ?	MRTY5051
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Sheryl Foster, sheryl.foster@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam ?	Assessment 3 Final exam Online invigilated exam	35%	Formal exam period	1.5 hours	AI prohibited
Outcomes assessed:
Contribution	Assessment 2 Discussion & tutorial contributions Online discussion posts and tutorial task submissions	40%	Multiple weeks	-	AI allowed
Outcomes assessed:
Presentation	Assessment 1 Presentation Recorded Presentation task	25%	Week 09 Due date: 12 Oct 2025 at 23:59	-	AI allowed
Outcomes assessed:

Assessment summary

Presentation task: 6 minutes - 8 slides recording to be submitted through Turnitin. Details available on Canvas
Discussion and tutorial contributions: Students make weekly discussion posts to an online moderated forum and complete tutorial tasks in Canvas
Final exam: The exam will include a range of different question styles, e.g. multiple choice questions, single word, short answer and an extended response question. Students will be examined on the material covered during weeks 5 to13 of semester

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Mastery of concepts demonstrates deep understanding and ability to integrate and transfer knowledge to different clinical scenarios; completion of assessment tasks shows an advanced synthesis of ideas; demonstration of initiative, complex understanding and analysis; work is very well presented; all criteria addressed and learning outcomes achieved to an outstanding level.
Distinction	75 - 84	Excellent achievement, consistent evidence of deep understanding and application of knowledge in MRI; task completion shows advanced understanding of concepts; demonstration of initiative, complex understanding and analysis; work is well-presented; all criteria addressed and learning outcomes achieved to a superior level.
Credit	65 - 74	Confident in explaining MRI concepts, with evidence of solid understanding, application and achievement; completion of tasks shows a relatively good understanding of material; work is well-presented with a minimum of errors; all criteria addressed and learning outcomes achieved to a high level.
Pass	50 - 64	Satisfactory level of engagement with and understanding of topic; some inconsistencies in understanding and knowledge of MRI; work is adequately presented, with some errors or omissions, most criteria addressed and learning outcomes achieved to an adequate level.
Fail	0 - 49	Unsatisfactory achievement and engagement with the medical science discipline; inadequate understanding or fundamental misunderstanding of topics; most criteria and learning outcomes not clearly or adequately addressed or achieved; lack of effort/involvement in the unit.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Magnetic resonance hardware and equipment	Online class (6 hr)
Week 02	Spatial encoding and k-space artefacts	Online class (6 hr)
Week 03	Magnetic resonance imaging safety	Online class (6 hr)
Week 04	Image parameters: what makes a good image?	Online class (6 hr)
Week 05	Sequences: spin echo	Online class (6 hr)
Week 06	Sequences: gradient echo	Online class (6 hr)
Week 07	Preparatory pulses and inversion recovery	Online class (6 hr)
Week 08	Fat suppression techniques	Online class (6 hr)
Week 09	Review of lower limb examinations, anatomy and indications - knee	Online class (6 hr)
Week 10	Review of lower limb examinations, anatomy and indications - ankle	Online class (6 hr)
Week 11	Review of upper limb examinations, anatomy and indications - shoulder	Online class (6 hr)
Week 12	Review of upper limb examinations, anatomy and indications - elbow	Online class (6 hr)
Week 13	Protocol optimisation and technical considerations in musculoskeletal imaging at 3T; Gadolinium-based contrast agents	Online class (6 hr)

Attendance and class requirements

This unit of study is offered online with email and phone support.

Required materials: A desktop computer or laptop (not tablet) with a webcam and microphone (built-in or external) and connection to network with an internet speed of at least 3Mbps download and upload speed is mandatory for online invigilated exams.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed either through the Library eReserve available on Canvas or through links embedded in the weekly modules.

McRobbie, D., Moore, E., Graves, M. and Prince, M. (2017), MRI From Picture to Proton (3rd ed.), Cambridge, Cambridge University Press.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

LO1. Identify the hardware components and understand the inherent safety issues in applying knowledge to maintain a safe magnetic resonance environment
LO2. demonstrate an understanding of the fundamental concepts of spatial encoding and k-space acquisition methods and how technical parameters are manipulated appropriately to optimise sequences
LO3. demonstrate an understanding of the differences in imaging at 1.5T and 3T field strengths and identify artifacts, their causes and appropriate minimisation strategies
LO4. identify the technical differences between spin echo and gradient echo pulse sequences and the various fat suppression techniques and apply this knowledge in the selection of the appropriate pulse sequence for optimal diagnostic outcome in musculoskeletal imaging
LO5. demonstrate a knowledge of the anatomy and common pathologies while identifying appropriate diagnostic imaging protocols for standard musculoskeletal examinations with a focus on shoulder, elbow, knee and ankle

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Professional capabilities for medical radiation practice -

Competency code	Taught, Practiced or Assessed	Competency standard
1.1.a		Apply knowledge of anatomy and physiology of the human body to practice.
1.1.b		Apply knowledge of the scientific explanations underpinning disease and injuries affecting the human body to enable delivery of safe, high-quality examinations/treatment.
1.1.c		Identify anatomical structures and physiological processes, injuries and diseases of the human body in medical images.
1.3.a		Understand the different imaging and treatment pathways in medical radiation practice.
1.3.b		Understand the modalities and equipment used in the different imaging and treatment pathways across medical radiation practice.
1.3.d		Operate equipment and apply knowledge of laboratory procedures to practice when necessary.
1.4.a		Understand the patient’s/client’s clinical history, referral and current medical information to confirm the requested or prescribed procedure is appropriate, drawing on knowledge of other imaging and treatment pathways.
1.4.b		Determine the appropriate imaging and/or treatment protocols and priorities, which consider the information collected during the interaction with the patient/client and knowledge of imaging and/or treatment options.
1.4.c		Adapt the requested examination/treatment to an individual patient/client considering available clinical information.
1.5.b		Identify patient/client preparation requirements.
1.5.d		Select appropriate equipment and triage patients/clients according to their clinical presentation, national standards and other factors.
1.5.e		Identify contraindications and limitations of medical radiation services, determine appropriate adjustments to procedures.
1.6.a		Consider the limitations/restrictions in the use of techniques and devices for reproducibility of procedures concerning the patient’s/client’s condition and presentation.
1.7.b		Apply quality criteria to assure image quality, evaluate medical images and identify any urgent and/or unexpected findings.
1.7.c		If the practitioner identifies any urgent or unexpected findings, take appropriate and timely action to ensure the immediate management of the patient/client.
1.7.d		Provide appropriate patient/client care before, during and after the examination/treatment.
1.9.a		Operate MRI systems safely and effectively.
1.9.b		Apply knowledge of the principles of MRI physics and surrounding environment to ensure patient/client and others’ safety.
1.9.c		Select equipment and imaging parameters relevant to the patient/client presentation and where appropriate, modify imaging parameters to achieve optimal diagnostic outcomes.
1.9.d		Collaborate in the design and evaluation of MRI protocols.
1.9.e		Perform and evaluate MRI examinations where appropriate, modify the examination according to the MRI findings and clinical presentation.
1.9.f		Process image data sets.
Domain 2.2.c		Display appropriate professional behaviour in patient/client interactions.
Domain 2.3.b		Recognise and respond appropriately to unsafe or unprofessional practice.
Domain 3.2.a		Establish and maintain effective and respectful working relationships with health practitioners.

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Very positive feedback from 2024 students re relevance to daily practice for those already working and access to the UoS for those not yet working but about to begin their training positions. Assessment tasks have been reduced from four to three. Greater focus on Discussion and Tutorial contributions to improve students' experience by creating more opportunities for student-student and student-lecturer interaction. In line with feedback from previous students and in recognition of the effort students make in tutorial tasks and the value students place on these, this weighting has been retained at 40%. Week 5 quiz has now been changed to a mandatory formative quiz (0%). This will give students an opportunity to assess their learning early in the semester and refocus on areas that may require greater attention for academic success in the unit.

Additional information

More information can be found on the Canvas website

Student Administration Manual on the Faculty of Health Sciences

Site visit guidelines

It is expected that students will visit the site at least 3 times per week to contribute to and keep abreast of student discussions as well as reviewing coursework and completing tutorial work

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Site visit guidelines

Disclaimer

On this page

Useful links

MRTY5052: Magnetic Resonance A

Semester 2, 2025 [Online] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Site visit guidelines

Disclaimer

On this page

Useful links