Universiti Teknologi Malaysia Institutional Repository

Automatic visualization pipeline formation for medical datasets on grid computing environment

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

Full text not available from this repository.

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
Additional Information:Conference of the World-Academy-of-Science-Engineering-and-Technology ; Venice, Italy, Nov. 23-25, 2007
Uncontrolled Keywords:visualization, grid computing, medical datasets, visualization techniques, thin clients, globus toolkit, VTK
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:11640
Deposited By: Nor Asmida Abdullah
Deposited On:28 Dec 2010 01:59
Last Modified:28 Dec 2010 01:59

Repository Staff Only: item control page