MRS233 Digital Image Processing And Informatics (8)

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.


Session 1 (30)
On Campus
Port Macquarie Campus
Wagga Wagga Campus

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.

Subject Information

Grading System



One session


School of Dentistry and Health Sciences

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to explain the basic relationship between the image form and the perceptual and physiological characteristics of the human observer.
  • be able to analyse and explain the impact of both physical and human factors on the important concepts of digital image quality.
  • be able to evaluate the architecture and components of a digital computer and the logical nature and function of software.
  • be able to compare and contrast 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 explain the processes of image acquisition, enhancement, display, storage, transmission, and retrieval systems.
  • be able to evaluate various tomographic image reconstruction and visualisation algorithms in diagnostic imaging.
  • be able to explain 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.


This 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).

Indicative Assessment

The following table summarises the assessment tasks for the online offering of MRS233 in Session 1 2020. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).

Item Number
Value %
Image processing lab report
Case study
Final exam

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.