Programmes

BACHELOR OF SCIENCE IN SOFTWARE ENGINEERING

SENG 42683

MEDICAL IMAGING AND BIOMEDICAL SIGNAL PROCESSING

Status : Elective Pre-requisite : SENG 22632, SENG 31553 Co-requisite : None

 

On completion of this course, the student should be able to:

  • Identify use of structural anatomy for medical image processing
  • Identify medical investigations and biomedical laboratory equipment
  • Identify biomedical signals and biomedical and biometric devices
  • Design and develop software interfaces for biomedical devices and equipment
  • Design and develop medical imaging and signal processing applications
  • Use medical imaging and laboratory information standards appropriately
  • Apply appropriate VR and simulation techniques to medical scenarios
  • Choose appropriate AI technologies to solve problems in the health domain
  • Appraise ethical and security issues in biomedical data acquisition and processing.

Basic structural anatomy and structural informatics; Medical Imaging and imaging informatics: Radiological and magnetic imaging, Microscopic imaging, Medical image capturing and processing, Imaging standards - PACS, DICOM; Imaging information systems, Medical data; Biomedical data – character, acquisition and storage; Accuracy of medical data – false positive, false negative; Biometrics; Biomedical Signals and signal processing; AI in health care; Probabilistic clinical reasoning; Medical decision support systems -expert systems, genetic algorithms; Natural language processing and text mining in medicine; VR and Simulations in medicine –Jsim; Interfacing with Biomedical devices – Medical Laboratory investigations and equipment, Standards and interoperability -LOINC, HL7; Intensive care and patient monitoring systems; Ethics and information security in medical image and signal processing.

Lectures, case discussions, industry/field visits.

End of course unit examination, case study presentations and group assignments.

  1. Shortliffe, E H and Cimino, J J (2006). Biomedical Informatics, Computer Applications in Health Care and Medicine. Springer
  2. Berry, E (2007). A Practical Approach to Medical Image Processing. Tailor & Francia
  3. Bruce, E N (2001). Biomedical Signal Processing and Signal Modelling. Wiley
  4. Riener, R and Harders, M (2012). Virtual Reality in Medicine. Springer.

Back