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Visualization pipeline for medical datasets on grid computing environment

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

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Official URL: http://dx.doi.org/10.1109/ICCSA.2007.92

Abstract

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

Item Type:Book Section
Uncontrolled Keywords:distance visualization, grid computing, grid services, medical datasets, resources availability, visualization pipeline
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:9650
Deposited By: Salasiah M Said
Deposited On:18 Jan 2010 07:54
Last Modified:02 Jun 2010 02:02

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