Exploring 2D/3D input techniques for medical image analysis

Authors
  • E.V. Zudilova-Seinstra
  • P.M.A. Sloot ORCID logo
  • P.J.H. de Koning
  • A. Suinesiaputra
  • R.J. van der Geest
  • J.H.C. Reiber
Publication date 2009
Host editors
  • E. Banissi
  • M. Sarfraz
  • F. Khosrowshahi
  • J. Counsell
  • R. Laing
  • C. Moore
  • A.J. Cowell
  • M. Hou
  • G.Y. Tian
  • M. Dastbaz
  • M. Bannatyne
  • J.J. Zhang
  • V. Scarano
  • R. De Chiara
  • U. Erra
  • A. Ursyn
  • H. Levkowitz
Book title International Conference on Information Visualisation, track Biomedical Visualization (MediViz09), Barcelona, Spain
ISBN
  • 9780769537344
Event 2nd International Conference in Visualisation (VIZ 2009), Barcelona, Spain
Pages (from-to) 147-152
Publisher Los Alamitos, CA: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We describe a series of experiments that compared the 2D and 3D input methods for selection and positioning tasks related to medical image analysis. For this study, we chose a switchable P5 glove controller, which can be used to provide both 2DOF and 6DOF input control. Our results suggest that for both tasks the overall completion time and accuracy can be improved when the input device with more degrees of freedom is used for manipulation of the visualized medical data. However, 3D input appeared to be more beneficial for the positioning task than for the selection task.
Document type Conference contribution
Note Zudilova-Seinstra2009c
Language English
Published at https://doi.org/10.1109/VIZ.2009.18
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