ELEC ENG 3113 - Principles of Medical Imaging
North Terrace Campus - Semester 2 - 2022
General Course Information
Course Code ELEC ENG 3113 Course Principles of Medical Imaging Coordinating Unit School of Electrical & Electronic Engineering Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Assumed Knowledge Maths 1A,1B, ENG 3101 Course Description In this course, students will gain an understanding of the physical principles involved in a broad range of medical imaging modalities, including X-rays, ultrasound, and nuclear magnetic resonance. Students will develop a critical knowledge on the signal processing approaches used to reconstruct images from measured data and how measurement parameters affect the image contrast.
Course Coordinator: Associate Professor Jiawen Li
The full timetable of all activities for this course can be accessed from Course Planner.1. Lectures
In-person (Weeks 1,8,9,10,11,12) or pre-recorded (Weeks 2-7) lectures that present the theory for each medical imaging modality are scheduled for each week.
2. Practicals (Wednesdays 12-2pm)
Practicals occur weekly throughout the semester.
3 Matlab workshops on image processing,
2 facility tours,
a group project,
and tutorials (numerical questions related to each medical imaging modality).
3. In-class tests
Tests occur in scheduled times (Wednesdays 12-2pm) in weeks 8 and 12.
Course Learning Outcomes1. Be able to demonstrate a firm understanding of various medical imaging modalities from an engineering perspective;
2. Be able to articulate the biomedical applications and limitations of various imaging technologies;
3. Be able to demonstrate creative and critical thinking about biomedical imaging technologies through reports and group presentation.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
Required ResourcesAll required resources are provided on MyUni.
Recommended ResourcesRecommended textbooks if you are interested to learn more about medical imaging:
1. Jerrold T. Bushberg, J. Antony Seibert, Edwin M. Leidholdt, Jr. and John M. Boone. The Essential Physics of Medical Imaging. ISBN 0-683-30118-7.
2. Michael Chappell, Principles of Medical Imaging for Engineers: From Signals to Images. https://link.springer.com/book/10.1007/978-3-030-30511-6
3. Andreas Maier, Stefan Steidl, Vincent Christlein, Joachim Hornegger (Eds.) Medical Imaging Systems: An Introductory Guide. https://doi.org/10.1007/978-3-319-96520-8
Online LearningThis course uses a variety of online resources to support learning, including:
- slides, videos, example code and tutorial questions
The course gradebook will be used to return continuous assessment marks. Students should check the gradebook regularly and confirm their marks have been correctly entered.
Learning & Teaching Activities
Learning & Teaching ModesThis course uses face-to-face tutorials, group project, workshops and lab/facility tours, supplemented by online materials, to achieve its learning objectives.
The in-person and pre-recorded presentations focus on key concepts and are supported by tutorials where practice exercises are discussed to test and develop understanding. Students will work on a clinical imaging project in small groups to consolidate understanding of various imaging modalities. There is a small assessment component for active participation in tutorials. Workshops provide an opportunity to develop hands-on skills in image processing and the tasks are typically completed in Matlab. Lab/facility tours allow students to see various biomedical imaging devices.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
There will be approximately 30 contact hours throughout the course. Students are expected to spend approximately 120 hours of private study, completing assignments and revising for tests.
Activity Detail Contact Hours Workload Hours Lectures In-person or pre-recorded lectures 6 to 12 24 Group project Report and presentation 5 to 10 40 Tutorials on numerical problems 5 x 1-hr sessions 5 15 Lab/facility tours 2-3 tours 2 to 6 12 Matlab workshops on image processing 3 x 1-hr sessions 3 6 In-class tests 2 x 1-hr sessions 2 24
Learning Activities SummaryWeek 1 Introduction
Week 2 X Ray and CT
Week 3 Image Registration
Week 4 Nuclear Medicine Imaging
Week 5 Nuclear Magnetic Resonance
Week 6 Magnetic Resonance Imaging
Week 7 Ultrasound and Photoacoustic Imaging
Week 8 Fundamentals of Optics and Photonics
Week 9 Endoscopy and optical design (guest lecture by Prof Alois Herkommer)
Week 10 Advanced Microscopy (guest lecture by Prof Kishan Dholakia)
Week 11 From Bench to Bedside (guest lecture by Prof Robert McLaughlin)
Week 12 Machine Learning and Medical Imaging (guest lecture by frontline clinician and AIML deputy director Dr Johan Verjans)
Specific Course RequirementsLaboratory clothing restrictions apply to the lab/facility tour sessions: closed-toe shoes.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Due (week)* Hurdle criteria Practicals 25 Individual 1, 3, 5, 12 Quizzes 5 Individual 2,4,6,9,10 Group project 35 Group 9,10,12 40% In-class tests 30 Individual 8,12 40% Participation at guest lectures 5 Individual 9-12
* The specific due date for each assessment task will be available on MyUni.
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
Assessment Related RequirementsA hurdle requirement is defined by the University's Assessment for Coursework Programs policy as "...an assessment task mandating a minimum level of performance as a condition of passing the course.
Assessment DetailDetails to be provided on MyUni.
SubmissionActive participation in tutorials and workshops are assessed in session. Written assignments (e.g., group report and facility tour reports) are submitted online via MyUni.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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