Flyer for Medical Signals & Imaging (PDF 285KB)  

Better understanding of the living human body, better diagnosis of disease, better intervention, and better monitoring of disease state or the effect of treatment all depend on accurate and comprehensive information in the form of measured signals and images.

Well known signals include electrocardiograms (ECG) to measure the activity of the heart and electroencephalograms (EEG) to record brain activity, but modern techniques allow measurements of a wide variety of properties of the skin, blood, and endocrine system, to provide more complete information.

Many of these signals can now be measured remotely and processed in real time with applications ranging from:

  • basic understanding of tissues and biological processes
  • facilitating surgical procedures
  • monitoring the performance of athletes

CT scan Image data includes:

  • X-rays
  • computed tomography (CT) scans
  • positron emission tomography (PET) scans
  • magnetic resonance imaging (MRI)
  • ordinary visual images; and
  • a variety of multidimensional data arrays that blur the boundary between images and signals.

Research within the Medical Device Research Institute (MDRI) includes theoretical work on processing signals and images such as:

  • multi-modal and multi-channel signal processing
  • image segmentation
  • image understanding
  • signal and image representation
  • machine learning
  • hardware design
  • clustering
  • visualisation; and
  • human-computer interaction.

 

Research Projects

Current research projects in the Medical Signals & Imaging program include:

Early detection of breast cancer
Computer programs are being developed to assist radiologists in interpreting screening mammograms with the objective of detecting breast cancer sooner, and hence, reduce the morbidity and mortality due to this disease.

Talking head, thinking head, teaching head
Speech recognition, language processing, computer lip reading, and computer facial expression understanding are being combined to develop a comprehensive understanding of human communication.

Brain-computer interface
The control of devices by speech is being extended to control devices by thinking. This project, in collaboration with the Cognitive Neuroscience Laboratory at Flinders University, also strives to develop methods for measuring and monitoring skill levels, stress and fatigue.

 

Program Leader

Please contact Ms Carmela Sergi, Institute Manager, for more information.

Phone: 08 8201 2901

Email: carmela.sergi@flinders.edu.au

 

Post-Graduate Students

We actively supervise and support many student projects at both Honours and Post-graduate levels and invite students who are interested in pursuing research in this program to contact us for further information.