Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83925
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dc.contributor.authorZudilova-Seinstra, Elena V.en
dc.contributor.authorSloot, Peter M. A.en
dc.contributor.authorde Koning, P. J. H.en
dc.contributor.authorSuinesiaputra, Avan.en
dc.contributor.authorvan der Geest, Rob J.en
dc.contributor.authorReiber, Johan H. C.en
dc.date.accessioned2013-06-11T04:17:25Zen
dc.date.accessioned2019-12-06T15:34:45Z-
dc.date.available2013-06-11T04:17:25Zen
dc.date.available2019-12-06T15:34:45Z-
dc.date.copyright2009en
dc.date.issued2009en
dc.identifier.citationZudilova-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.en
dc.identifier.urihttps://hdl.handle.net/10356/83925-
dc.description.abstractWe 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.en
dc.language.isoenen
dc.rights© 2009 IEEE.en
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.titleExploring 2D/3D input techniques for medical image analysisen
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Engineeringen
dc.contributor.conferenceInternational Conference in Visualisation (2nd : 2009 : Barcelona, Spain)en
dc.identifier.doi10.1109/VIZ.2009.18en
item.grantfulltextnone-
item.fulltextNo Fulltext-
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