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Unit outline_

MRTY2103: Image Optimisation and Processing

Semester 1, 2024 [Normal day] - Camperdown/Darlington, Sydney

This unit of study builds upon the theory and application of Imaging Technology 1. Students will be expected to demonstrate an appreciation of image quality theory as it applies to x-ray systems, including tubes, detectors, radiation dose and display. Image processing, in both spatial and frequency domains, will be explored in an applied context so that students can optimise their practical understanding of imaging technique and image display.

Unit details and rules

Academic unit Clinical Imaging
Credit points 6
Prerequisites
? 
MRTY1037
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Sahand Hooshmand, sahand.hooshmand@sydney.edu.au
Lecturer(s) Peyman Obeidy, peyman.obeidy@sydney.edu.au
Steven Meikle, steven.meikle@sydney.edu.au
Jillian Clarke, jillian.clarke@sydney.edu.au
Sahand Hooshmand, sahand.hooshmand@sydney.edu.au
The census date for this unit availability is 2 April 2024
Type Description Weight Due Length
Assignment Practical Reports
A reflective report of each practical activity for all tutorial weeks.
20% Multiple weeks Maximum of 500 words per report.
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Supervised test
? 
Mid Semester Examination
30 MCQs, each worth 1 mark.
30% Week 07
Due date: 08 Apr 2024 at 15:00
1 hour
Outcomes assessed: LO1 LO2 LO3 LO5 LO8
Assignment Final Assignment
Assignment focusing on all topics.
50% Week 12
Due date: 17 May 2024 at 18:00
2 hours
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2

Assessment summary

Assessment 1: Midsemester exam is an individual exam consisting of 30MCQs. This contributes 30% to the final mark.

Assessment 2: Practical report of weekly tutorial activities. This contributes 20% to the final marks.

Assessment 3: Assignments contributing 50% to the final mark. 

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.

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:

Late submission of practical reports attracts a penalty and depends on how late the submission is received. Replacement exams must be approved by the relevant authority and the UoS coordinator.

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.

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

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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 2023 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 2023. 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

WK Topic Learning activity Learning outcomes
Week 01 Overview of Optimisation and Image Quality Lecture (2 hr) LO1
Quality Assurance Basics Lecture (2 hr) LO2
Week 02 QA in CR, DR, and Displays Lecture and tutorial (4 hr) LO2 LO3
Week 03 Radiographic Image Quality Lecture (2 hr) LO1
Week 04 Ultrasound Image Quality Lecture (2 hr) LO8
Reject Analysis and DRLs Lecture and tutorial (4 hr) LO4
Week 05 Optimisation and Image Quality Assessment Lecture and tutorial (4 hr) LO3
Week 06 Imaging System Quality Measures Lecture and tutorial (4 hr) LO5
Week 08 Frequency Domain Filters Lecture (2 hr) LO6
Week 09 Spatial Domain Filters Lecture and tutorial (4 hr) LO6 LO7
Week 10 Image Post-Processing Lecture and tutorial (4 hr) LO7
Week 11 Revision Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8

Attendance and class requirements

Attendance: Lectures are face-to-face and tutorials are completely online. This unit uses an active online learning approach, where there will be post-class discussion activities and opportunities to ask questions through an online discussion board. Tutorials are designed to integrate with and complement lectures, so the learning experience comes from the combination of these activities.

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 on the Library eReserve link available on Canvas.

  • Bourne, R. (2010). Fundamentals of digital imaging in medicine. London: Springer.
  • Bushong SC (2013). Radiologic science for technologists: physics, biology and protection. ed 10, St. Louis: Mosby.
  • Pianykh OP (2013). Digital Image Quality in Medicine. London: Springer.
  • Lanca L, Silva A (2012). Digital Imaging Systems for Plain Radiography. Springer.

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. apply knowledge of the fundamentals of digital imaging statistics and how they can be used to evaluate images
  • LO2. evaluate simple quality assurance principles as applied to x-ray tubes and systems and detectors
  • LO3. understand the principles of image optimization and image quality as applied specifically to plain radiographs and cross sectional images
  • LO4. understand the relationship between Dose Reference Levels and image optimization
  • LO5. understand a range of image quality metrics and system quality measures including MTF and DQE
  • LO6. apply a range of image processing techniques including filters in the spatial frequency domain
  • LO7. Apply post-processing techniques to improve image quality
  • LO8. Understand image quality in ultrasound and computed tomography

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

Alignment with Competency standards

Outcomes Competency standards
LO1
Professional capabilities for medical radiation practice - MRPBA
1.9.f. Process image data sets.
1A.1.d. Select appropriate equipment, receptor type and set equipment geometry for the examination.
1A.2.d. Apply knowledge of equipment geometry for procedures.
1A.2.f. Perform image post-processing techniques. (1A.2)
Domain 5.1.f. Identify radiation risks and implement effective and appropriate risk management systems and procedures.
LO2
Professional capabilities for medical radiation practice - MRPBA
Domain 5.3.a. Check and confirm that all equipment is in good order and operating within acceptable parameters.
Domain 5.3.b. Follow protocols to record details of all routine equipment checks.
Domain 5.3.c. Identify and take appropriate action to correct unacceptable condition or operation of all equipment.
Domain 5.3.d. Follow protocols to record and report non-conformance of all equipment.
LO3
Professional capabilities for medical radiation practice - MRPBA
1.3.d. Operate equipment and apply knowledge of laboratory procedures to practice when necessary.
1.7.b. Apply quality criteria to assure image quality, evaluate medical images and identify any urgent and/or unexpected findings.
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.
1A.1.f. Critically evaluate images against radiographic criteria including assessment of exposure index, field of view and anatomical rotation.
1A.2.e. Apply knowledge of imaging acquisition modes and radiation dose rates.
Domain 5.1.c. Apply knowledge of radiobiology and medical radiation physics to examinations/treatment.
Domain 5.1.d. Apply knowledge of radiobiology and radiation dose adjustment to deliver safe and effective patient/client outcomes.
Domain 5.1.f. Identify radiation risks and implement effective and appropriate risk management systems and procedures.
LO4
Professional capabilities for medical radiation practice - MRPBA
1A.3.c. Adjust relative radiation dose levels based on the range of patient/client presentations.
Domain 5.3.d. Follow protocols to record and report non-conformance of all equipment.
LO5
Professional capabilities for medical radiation practice - MRPBA
1A.1.f. Critically evaluate images against radiographic criteria including assessment of exposure index, field of view and anatomical rotation.
Domain 5.3.c. Identify and take appropriate action to correct unacceptable condition or operation of all equipment.
LO7
Professional capabilities for medical radiation practice - MRPBA
Domain 5.1.c. Apply knowledge of radiobiology and medical radiation physics to examinations/treatment.
Domain 5.3.a. Check and confirm that all equipment is in good order and operating within acceptable parameters.
Domain 5.3.b. Follow protocols to record details of all routine equipment checks.
Domain 5.3.c. Identify and take appropriate action to correct unacceptable condition or operation of all equipment.
Domain 5.3.d. Follow protocols to record and report non-conformance of all equipment.

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

We are committed to helping you have a good learning experience. Therefore, we continuously make changes to lecture content, assessments, and tutorial activities to capture your needs for future clinical practice based on feedback from previous students. We encourage an "open door policy", so feel free to ask questions when you are struggling to understand a concept.

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.