Visualization pipeline for medical datasets on grid computing environment
Distance visualization of large datasets often takes the direction of remote viewing and zooming techniques of stored static images. However, the continuous increase in the size of datasets and visualization operation causes insufficient performance with traditional desktop computers. Additionally,...
| Main Authors: | , , , |
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| Format: | Book Section |
| Language: | English |
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Institute of Electrical and Electronics Engineering (IEEE)
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/9650/ http://eprints.utm.my/9650/1/KamarulnizamAbuBakar2007_VisualizationPipelineforMedicalDatasets.pdf |
| _version_ | 1848891903691456512 |
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| author | Ahmed, A. A. Latiff, M. S. A. Abu Bakar, K. Rajion, Z. A. |
| author_facet | Ahmed, A. A. Latiff, M. S. A. Abu Bakar, K. Rajion, Z. A. |
| author_sort | Ahmed, A. A. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Distance visualization of large datasets often takes the direction of remote viewing and zooming techniques of stored static images. However, the continuous increase in the size of datasets and visualization operation causes insufficient performance with traditional desktop computers. Additionally, the visualization techniques such as isosurface depend on the available resources of the running machine and the size of datasets. Moreover, the continuous demand for powerful computing powers and continuous increase in the size of datasets results an urgent need for a grid computing infrastructure. However, some issues arise in current grid such as resources availability at the client machines which are not sufficient enough to process large datasets. On top of that, different output devices and different network bandwidth between the visualization pipeline components often result output suitable for one machine and not suitable for another. In this paper we investigate how the grid services could be used to support remote visualization of large datasets and to break the constraint of physical co-location of the resources by applying the grid computing technologies. We show our grid enabled architecture to visualize large medical datasets (circa 5 million polygons) for remote interactive visualization on modest resources clients. |
| first_indexed | 2025-11-15T21:05:22Z |
| format | Book Section |
| id | utm-9650 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:05:22Z |
| publishDate | 2007 |
| publisher | Institute of Electrical and Electronics Engineering (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-96502017-08-15T01:45:13Z http://eprints.utm.my/9650/ Visualization pipeline for medical datasets on grid computing environment Ahmed, A. A. Latiff, M. S. A. Abu Bakar, K. Rajion, Z. A. QA75 Electronic computers. Computer science Distance visualization of large datasets often takes the direction of remote viewing and zooming techniques of stored static images. However, the continuous increase in the size of datasets and visualization operation causes insufficient performance with traditional desktop computers. Additionally, the visualization techniques such as isosurface depend on the available resources of the running machine and the size of datasets. Moreover, the continuous demand for powerful computing powers and continuous increase in the size of datasets results an urgent need for a grid computing infrastructure. However, some issues arise in current grid such as resources availability at the client machines which are not sufficient enough to process large datasets. On top of that, different output devices and different network bandwidth between the visualization pipeline components often result output suitable for one machine and not suitable for another. In this paper we investigate how the grid services could be used to support remote visualization of large datasets and to break the constraint of physical co-location of the resources by applying the grid computing technologies. We show our grid enabled architecture to visualize large medical datasets (circa 5 million polygons) for remote interactive visualization on modest resources clients. Institute of Electrical and Electronics Engineering (IEEE) 2007-08 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9650/1/KamarulnizamAbuBakar2007_VisualizationPipelineforMedicalDatasets.pdf Ahmed, A. A. and Latiff, M. S. A. and Abu Bakar, K. and Rajion, Z. A. (2007) Visualization pipeline for medical datasets on grid computing environment. In: International Conference on Computational Science and its Applications ICCSA 2007. Institute of Electrical and Electronics Engineering (IEEE), pp. 567-576. ISBN 978-0-7695-2945-5 http://dx.doi.org/10.1109/ICCSA.2007.92 doi : 10.1109/ICCSA.2007.92 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmed, A. A. Latiff, M. S. A. Abu Bakar, K. Rajion, Z. A. Visualization pipeline for medical datasets on grid computing environment |
| title | Visualization pipeline for medical datasets on grid computing environment |
| title_full | Visualization pipeline for medical datasets on grid computing environment |
| title_fullStr | Visualization pipeline for medical datasets on grid computing environment |
| title_full_unstemmed | Visualization pipeline for medical datasets on grid computing environment |
| title_short | Visualization pipeline for medical datasets on grid computing environment |
| title_sort | visualization pipeline for medical datasets on grid computing environment |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9650/ http://eprints.utm.my/9650/ http://eprints.utm.my/9650/ http://eprints.utm.my/9650/1/KamarulnizamAbuBakar2007_VisualizationPipelineforMedicalDatasets.pdf |