Exploring 2D/3D input techniques for medical image analysis
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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/83925 http://hdl.handle.net/10220/10172 |
| _version_ | 1826112774950879232 |
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| author | Zudilova-Seinstra, Elena V. Sloot, Peter M. A. de Koning, P. J. H. Suinesiaputra, Avan. van der Geest, Rob J. Reiber, Johan H. C. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Zudilova-Seinstra, Elena V. Sloot, Peter M. A. de Koning, P. J. H. Suinesiaputra, Avan. van der Geest, Rob J. Reiber, Johan H. C. |
| author_sort | Zudilova-Seinstra, Elena V. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:12:38Z |
| format | Conference Paper |
| id | ntu-10356/83925 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:12:38Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/839252020-05-28T07:17:41Z Exploring 2D/3D input techniques for medical image analysis Zudilova-Seinstra, Elena V. Sloot, Peter M. A. de Koning, P. J. H. Suinesiaputra, Avan. van der Geest, Rob J. Reiber, Johan H. C. School of Computer Engineering International Conference in Visualisation (2nd : 2009 : Barcelona, Spain) DRNTU::Engineering::Computer science and engineering 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. 2013-06-11T04:17:25Z 2019-12-06T15:34:45Z 2013-06-11T04:17:25Z 2019-12-06T15:34:45Z 2009 2009 Conference Paper 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. https://hdl.handle.net/10356/83925 http://hdl.handle.net/10220/10172 10.1109/VIZ.2009.18 en © 2009 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Zudilova-Seinstra, Elena V. Sloot, Peter M. A. de Koning, P. J. H. Suinesiaputra, Avan. van der Geest, Rob J. Reiber, Johan H. C. Exploring 2D/3D input techniques for medical image analysis |
| title | Exploring 2D/3D input techniques for medical image analysis |
| title_full | Exploring 2D/3D input techniques for medical image analysis |
| title_fullStr | Exploring 2D/3D input techniques for medical image analysis |
| title_full_unstemmed | Exploring 2D/3D input techniques for medical image analysis |
| title_short | Exploring 2D/3D input techniques for medical image analysis |
| title_sort | exploring 2d 3d input techniques for medical image analysis |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/83925 http://hdl.handle.net/10220/10172 |
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