MRS233 Digital Image Processing And Informatics (8)
CSU Discipline Area: Medical Radiation Science (MEDRA)
Duration: One session
Abstract:
This subject deals with computer applications in medical radiation science including digital image quality improvement and image data information handling. It covers the human observer in the chain of diagnostic imaging, image quality assessment, digital imaging processing and analysis, computerised tomographic image reconstruction and visualisation, image data storage and communication and imaging informatics.
+ Subject Availability Modes and Locations
| Session 1 | |
|---|---|
| Internal | Wagga Wagga |
| Distance | Wagga Wagga |
Continuing students should consult the SAL for current offering details: MRS233
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Objectives:
Upon successful completion of this subject, students should:
- Be able to demonstrate an understanding of the basic relationship between the image form and the perceptual and physiological characteristics of the human observer.
- Be able to explain and be able to assess the impact of both physical and human factors on the important concepts of digital image quality.
- Be able to demonstrate a working understanding of the architecture and components of a digital computer and the logical nature and function of software.
- Be able to 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.
- Be able to demonstrate an understanding of the processes of image acquisition, enhancement, display, storage, transmission, and retrieval systems.
- Be able to demonstrate a working knowledge of various tomographic image reconstruction and visualisation algorithms in diagnostic imaging.
- Be able to demonstrate an understanding of the concepts of imaging informatics including computer assisted diagnosis.
- Be able to apply a range of practical skills in image processing techniques found in diagnostic imaging systems
Syllabus:
The subject will cover the following topics:
- The human observer: characteristics, limitations, basic psychophysics of human vision; colours in human vision and colour models; diagnostic imaging perception.
- Image quality: physical factors and measurements of image quality; signal to noise ratio (SNR); image display device and human influence on image quality; image quality assessment methodologies.
- Digital image fundamentals: computer hardware and software; digital image fundamentals; medical image formats; digital imaging systems.
- Digital image processing: contrast stretch; edge enhancement; noise reduction; smoothing; various spatial domain transforms and image enhancement techniques in frequency space.
- Image Analysis: simple feature detection; histograms; statistical analysis; region of interest; parametric imaging.
- Digital Tomographic image reconstruction and visualisation: Fourier transformation image reconstruction; filtered back projection image reconstruction; iterative image reconstruction; tomographic image visualisation; co-registration / fusion techniques.
- Digital image storage and communications: image storage media; image compression techniques; picture archiving and communication systems (PACS); digital image communication in medicine (DICOM).
- Imaging informatics: hospital and radiological information systems (HIS and RIS); diagnostic imaging workflow and integrated health empire (IHE); computer assisted diagnosis (CAD).
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.