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Automatic visualizaion pipeline formation for medical on grid computing environment

Ahmed, Aboamama Atahar and Abd. Latif, Muhammad Shafie and Abu Bakar, Kamalrulnizam and Ahmad Rajion, Zainul (2008) Automatic visualizaion pipeline formation for medical on grid computing environment. International Journal of Mathematical, Physical and Engineering Science, 1 (3). 161 - 166. ISSN 1307-7465

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Official URL: https://www.researchgate.net/publication/49910732_...

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:Article
Uncontrolled Keywords:datasets
Subjects:Unspecified
Divisions:Computer Science and Information System (Formerly known)
ID Code:18818
Deposited By: Kamariah Mohamed Jong
Deposited On:15 Feb 2017 07:04
Last Modified:12 Oct 2017 06:13

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