Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83925
Title: Exploring 2D/3D input techniques for medical image analysis
Authors: Zudilova-Seinstra, Elena V.
Sloot, Peter M. A.
de Koning, P. J. H.
Suinesiaputra, Avan.
van der Geest, Rob J.
Reiber, Johan H. C.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2009
Source: Zudilova-Seinstra, E. V., Sloot, P. M. A., de Koning, P. J. H., Suinesiaputra, A., van der Geest, R.J ., & Reiber, J. H. C. (2009). Exploring 2D/3D Input Techniques for Medical Image Analysis. 2009 Second International Conference in Visualisation, 147-152.
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.
URI: https://hdl.handle.net/10356/83925
http://hdl.handle.net/10220/10172
DOI: 10.1109/VIZ.2009.18
Rights: © 2009 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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