Informatics and Image Processing (10016.2)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Flexible
|| UC - Canberra, Bruce
|0.125||3||Faculty Of Health|
|Discipline||Study level||HECS Bands|
|Discipline Of Medical Radiation||Level 2 - Undergraduate Intermediate Unit|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn successful completion of this unit, students will be able to;
1. Demonstrate an understanding of physiological characteristics of the human observer and of human perception and the relationship of these in image observation and determination of image quality;
2. Demonstrate an understanding of the basic principles underpinning the various forms of digital image processing techniques available in diagnostic imaging and be able to manipulate images to improve image quality;
3. Apply a range of practical skills in image processing techniques found in diagnostic imaging systems;
4. Demonstrate an understanding of digital images and the processes of image enhancement, display, storage, transmission, and retrieval systems; and
5. Demonstrate an understanding of the concepts of imaging informatics including computer assisted diagnosis.
Graduate attributes1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites10028 Radiographic Imaging 1 AND 10026 Physical Principles of MRS
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Canberra, Bruce||Winter Term||01 June 2021||Flexible||Prof Rob Davidson|
|2022||UC - Canberra, Bruce||Winter Term||30 May 2022||Flexible||Prof Rob Davidson|
No Specific text is set or required. There are many texts, including online texts, and web pages that will provide aditional reading on the topics.
Baxes, GA, (1994) Digital image processing: Principles and applications, John Wiley and Son, Toronto (This is a 1994 text however this is the most approariate text for this level. The text that is available through the library online, check links on the Canvas site,)
Carter, C & Veale, B, (2018) Digital Radiography and PACS, 3rd Edn. Mosby, St. Louis
Huang, HK, (2009) PACS and Imaging Informatics: Basic Principles and Applications, 2nd Edn., Wiley-Blackwell, Toronto
Word of caution when reading widely:
There is no set terminology in DIP. Many different authors have differing names for the same / similar DIP process. I will use what I think is the more common terminology, especially in medical radiations. Make sure you understand the underlying principle of the DIP process before you think it is different from another.
Note: This unit is offered in a shortened study period, Winter Term (WT). WT is 7 weeks in duration compared to a standard semester of 12 weeks. The unit is 3 credit points (CP) in value, the same as units covered in other semesters. As such you need to spend more time per week in your study of this unit.
There are 3 hours of face to face lectures and 1.5 hours of labs on the stated weeks. It is expected that you will at least double that amount of time in self-directed learning, that is you will need to spend at least 8-10 hours / week in studying for this unit.
Labs can be undertaken on campus or at home, there is no cumplusory attendance of labs on-campus. Face to face labs are scheduled on Wed morning. If you do not want to attend these, on Allocate+ select the unallocated time slot.
You must, however, submit responses to all online labs assessment task. Failure to do this will result in a zero mark being awarded for the Lab section of assessment.
Required IT skills
You will be required to work with the software ImageJ either on a PC at home or in 27D25 or on a Mac at home.
Work placement, internships or practicums