A Novel Approach to CT Scans' Interpretation via Incorporation into a VR Human Model

  • Authors:
  • Sophia Sakellariou;Vassilis Charissis;Ben M. Ward;David Chanock;Paul Anderson

  • Affiliations:
  • Aberdeen Royal Infirmary, Acute Medicine, Aberdeen, UK;Digital Design Studio, University of Glasgow/ Glasgow School of Art, Glasgow, UK G41 5BW;University of Edinburgh, UK;Department of Radiology, Ayr Hospital, Ayr, UK;Digital Design Studio, University of Glasgow/ Glasgow School of Art, Glasgow, UK G41 5BW

  • Venue:
  • ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
  • Year:
  • 2009

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Abstract

This paper presents a novel approach for interpretation of Computerised-Tomography (CT) scans. The proposed system entails an automated transfer of selected CT scans onto a default Virtual Reality human model. Contemporary training requirements often are proven to be time-consuming for the clinical facilities which have to split unevenly their operational time between radiological examinations and the Radiologists' training. Adhering to the contemporary training requirements we employed a plethora of VR and Human-Computer Interaction techniques in order to enable the trainees to familiarise themselves with the interpretation of such data and their actual, spatial correlation inside the human body. Overall the paper presents the challenges involved in the development of this method and examines the potential as well the drawbacks for deployment of such system in large scale teaching audience. Finally the paper discusses the results of an initial user-trial, which involved twelve trainee doctors, and offers a tentative plan of future work which aspires to customise the software for different learning levels.