Automatic visualization pipeline formation 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: | , , , |
|---|---|
| Format: | Article |
| Published: |
World Acad Sci, Eng & Tech-Waset
2007
|
| Subjects: |
| _version_ | 1796854919611809792 |
|---|---|
| author | Ahmed, Aboamama Atahar Abd. Latiff, Muhammad Shafie Abu Bakar, Kamalrulnizam Rajion, Zainul Ahmad |
| author_facet | Ahmed, Aboamama Atahar Abd. Latiff, Muhammad Shafie Abu Bakar, Kamalrulnizam Rajion, Zainul Ahmad |
| author_sort | Ahmed, Aboamama Atahar |
| collection | ePrints |
| 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 | 2024-03-05T18:21:11Z |
| format | Article |
| id | utm.eprints-11640 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:21:11Z |
| publishDate | 2007 |
| publisher | World Acad Sci, Eng & Tech-Waset |
| record_format | dspace |
| spelling | utm.eprints-116402017-10-08T01:04:28Z http://eprints.utm.my/11640/ Automatic visualization pipeline formation for medical datasets on grid computing environment Ahmed, Aboamama Atahar Abd. Latiff, Muhammad Shafie Abu Bakar, Kamalrulnizam Rajion, Zainul Ahmad 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. World Acad Sci, Eng & Tech-Waset 2007 Article PeerReviewed Ahmed, Aboamama Atahar and Abd. Latiff, Muhammad Shafie and Abu Bakar, Kamalrulnizam and Rajion, Zainul Ahmad (2007) Automatic visualization pipeline formation for medical datasets on grid computing environment. Proceedings Of World Academy Of Science, Engineering And Technology, 25 . pp. 342-347. ISSN 1307-6884 http://waset.org/publications/2366/automatic-visualization-pipeline-formation-for-medical-datasets-on-grid-computing-environment http://apps.isiknowledge.com |
| spellingShingle | QA75 Electronic computers. Computer science Ahmed, Aboamama Atahar Abd. Latiff, Muhammad Shafie Abu Bakar, Kamalrulnizam Rajion, Zainul Ahmad Automatic visualization pipeline formation for medical datasets on grid computing environment |
| title | Automatic visualization pipeline formation for medical datasets on grid computing environment
|
| title_full | Automatic visualization pipeline formation for medical datasets on grid computing environment
|
| title_fullStr | Automatic visualization pipeline formation for medical datasets on grid computing environment
|
| title_full_unstemmed | Automatic visualization pipeline formation for medical datasets on grid computing environment
|
| title_short | Automatic visualization pipeline formation for medical datasets on grid computing environment
|
| title_sort | automatic visualization pipeline formation for medical datasets on grid computing environment |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT ahmedaboamamaatahar automaticvisualizationpipelineformationformedicaldatasetsongridcomputingenvironment AT abdlatiffmuhammadshafie automaticvisualizationpipelineformationformedicaldatasetsongridcomputingenvironment AT abubakarkamalrulnizam automaticvisualizationpipelineformationformedicaldatasetsongridcomputingenvironment AT rajionzainulahmad automaticvisualizationpipelineformationformedicaldatasetsongridcomputingenvironment |