Outline

Overview

This core unit of study includes content and case studies that span from foetal imaging to forensic imaging. The content is based on key imaging pathways for distinct patient ages and presentations. This includes: the use of ultrasound, especially for foetal and neonatal patients; the use of plain radiographic imaging, especially for infant, paediatrics and adolescents for non-accidental injuries and specialised spinal imaging for scoliosis and kyphosis; comparative imaging, especially for elderly patients including bone mineral density quantification; stroke evaluation and forensic imaging for all ages. The cases will examine the optimisation and justification for the use of non-ionising and ionising radiation imaging, the effects of dose on paediatrics as well as the sensitivities and adaptation needed for frail, young and elderly patients. The specific issues of advocacy, consent and imaging of patients of all ages, including deceased patients, will be addressed.

Unit details and rules

Academic unit	Clinical Imaging
Credit points	6
Prerequisites ?	MRTY2105
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Jacky Chen, jacky.chen1@sydney.edu.au
Guest lecturer(s)	John William Robinson, john.robinsonmrs@sydney.edu.au
Guest lecturer(s)	Samantha Thomas, samantha.thomas@sydney.edu.au
Lecturer(s)	Jillian Clarke, jillian.clarke@sydney.edu.au
Tutor(s)	Mahshad Moradgholi, mahshad.moradgholi@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Small continuous assessment	Sonography Quizzes Attendance (5%) + Small quizzes (Week 3 - 5%, Week 5 - 10%, Week 8 - 15%)	35%	Week 08 Due date: 14 Apr 2025 at 23:59	Small continuous assessments
Outcomes assessed:
Assignment	Group assignment Video + individual reflection Creating a video of a specific pathology/ imaging/diagnosis/treatments (35% - due Friday Week 10) + 400-word individual reflection (10% - due Friday Week 11)	45%	Week 10 Due date: 09 May 2025 at 23:59	5 - 7 minutes video
Outcomes assessed:
Small test	Radiography class quiz Small class quiz held at the beginning of the week 13's lecture timeslot.	20%	Week 13 Due date: 26 May 2025 at 14:00	Small class test
Outcomes assessed:
= hurdle task ? = group assignment ? = restricted AI ?

Assessment summary

Sonography Quizzes: These small tests will progressively assess students’ knowledge of the topics covered in all the lectures, readings and tutorials provided on clinical sonography.
Video Group assignment and individual reflection: To create an educational video. This will be a group task with a group size of 5-6 students contributing to the video content. The topic will be allocated to your group. Individual submission for students to reflect on the group work. Restricted AI usage is permitted: Generating an understanding of the topic, planning structure of submission and editing to improve style and clarity.
Radiography class quiz: This test will assess students’ knowledge of the topics covered in all the lectures, tutorials and readings up to week 12 (excluding the sonography content).

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
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

5% deduction for late submissions per day.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

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	Introduction to unit + Principles of U/S	Lecture (2 hr)
Week 01	Ultrasound principles	Tutorial (2 hr)
Week 02	Ultrasound Basics + Neonatal ultrasound + Paediatric sonography	Lecture (2 hr)
Week 02	Ultrasound principles	Tutorial (2 hr)
Week 03	Ultrasound in Obstetrics and Gynaecology	Lecture (2 hr)
Week 03	Obstetric and Women's imaging	Tutorial (2 hr)
Week 04	U/S in Men’s and Women’s Health	Lecture (2 hr)
Week 04	Obstetric and Women's imaging	Tutorial (2 hr)
Week 05	Doppler ultrasound + Revision	Lecture (2 hr)
Week 05	Paediatric and Men's imaging + Doppler	Tutorial (2 hr)
Week 06	Ethics Imaging Paediatrics + Video information session	Lecture (2 hr)
Week 06	Paediatric and Men's imaging + Doppler	Tutorial (2 hr)
Week 07	Neonatal chest radiography	Lecture (2 hr)
Week 07	Neonatal mobile radiography	Tutorial (1 hr)
Week 08	Video feedback session	Lecture (2 hr)
Week 08	Neonatal chest	Tutorial (2 hr)
Week 09	Neonatal abdomen radiography	Lecture (2 hr)
Week 09	Neonatal chest	Tutorial (2 hr)
Week 10	Non-accidental injury	Lecture (2 hr)
Week 10	Neonatal abdomen	Tutorial (2 hr)
Week 11	Specialised adolescent imaging including scoliosis	Lecture (2 hr)
Week 11	Neonatal abdomen	Tutorial (2 hr)
Week 12	Stroke and Aneurysm	Lecture (2 hr)
Week 12	CT Stroke perfusion	Tutorial (1 hr)
Week 13	BMD and Forensic radiology	Lecture (2 hr)

Attendance and class requirements

Attendance requirements:

In this unit, each student attends four two-hour tutorials, On Campus for Ultrasound and Radiography tutorials. Students must attend all tutorials as per faculty resolutions.

Work, health, and safety requirements:

Students must have been inducted into the Medical Imaging Suite.

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

Refer to the reading list on the MRTY3119 Canvas page.

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. show a critical understanding of the justification and optimisation of a range of medical imaging procedures across the lifespan, from fetal and neonatal imaging through to geriatric and forensic imaging
LO2. demonstrate an awareness of, and the application of knowledge of imaging pathways, including the ability to use evidence based practice to justify decisions
LO3. explain the principles and clinical applications of ultrasound imaging, especially for pediatric and foetal imaging
LO4. explain the principles and clinical applications of women’s imaging
LO5. explain the principles and clinical applications of a range of contrast and interventional procedures, using a variety of modalities such as fluoroscopy, angiography, interventional radiology and CT
LO6. show an awareness and implementation of appropriate communication styles or distinct patient ages and presentations, from the very young to the very old
LO7. show an awareness of broad professional issues including advocacy and consent for patients of all ages, and the legal requirements related to non-accidental injury (NAI)
LO8. apply knowledge of pathology, including for immediate patient management where significant medical findings are found on the examination, for a range of patient presentations, especially those related to distinct age groups
LO9. discuss comparative imaging techniques, showing an awareness of alternative imaging (e.g. ultrasound) and functional imaging (e.g. nuclear med, PET/CT, CT perfusion, Doppler ultrasound).

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

Alignment with Competency standards

Outcomes	Competency standards
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome. National Safety and Quality Health Service - 5. Comprehensive Care Standard
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome.
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome.
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome.
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome.
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome. National Safety and Quality Health Service - 5. Comprehensive Care Standard
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome. National Safety and Quality Health Service - 5. Comprehensive Care Standard
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome. National Safety and Quality Health Service - 5. Comprehensive Care Standard
	Professional capabilities for medical radiation practice - 1A.1.b. Prepare the patient/client for the examination, including positioning the patient/client for the best diagnostic outcome.

National Safety and Quality Health Service -

Competency code	Taught, Practiced or Assessed	Competency standard
5		Comprehensive Care Standard

Responding to student feedback

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

Last year (2024), 22% of the large cohort took the time to complete the Unit of Study Survey for this unit and provided excellent constructive comments. We had a mean rating of 4.4 out of 5 for all questions. The students enjoyed the hands-on ultrasound experience and the collaborative imaging neonatal tutorials. The comments regarding the assessments have been taken in full and have now been implemented into the new 2025 assessments for MRTY3119. Thank you, to the 2024 students for your feedback, from Jacky and the MRTY3119 teaching team.

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) and automated writing tools

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

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

MRTY3119: Imaging Through the Lifespan

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

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

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links