A platform for distributed analysis of neuroimaging data on global grids

Author

Kolbe, Scott ; Ma, Tianchi ; Liu, Wei ; Soh, Wee Siong ; Buyya, Rajkumar ; Egan, Gary

Author_Institution

Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Vic.

fYear

2005

fDate

1-1 July 2005

Lastpage

79

Abstract

This paper presents a grid environment developed for analysis of MRI brain data on global grids. In the current experiment, the MRI data analysis tasks are composed and formulated as a parameter sweep application. This application was deployed using the Gridbus Resource broker. The clusters in our grid environment were managed using PBS and SGE. To execute tasks on remote resources, the Gridbus broker used SSH services for some resources and Globus middleware services for others for initiating execution and management. In this experiment, 16 times 8.1MB images and 28 times 16.3MB images were processed using a volumetric analysis method. The total waiting time was 1800s and the total processing time was 1279.30s. The broker overhead was 521s. Completing this analysis on a single machine could take over twenty hours. This grid architecture provides a useful time-saving analysis tool for neuroimaging applications

Keywords

biomedical MRI; data analysis; grid computing; medical image processing; middleware; neurophysiology; stereo image processing; Globus middleware services; Gridbus Resource broker; Gridbus broker; MRI brain data; distributed data analysis; grid architecture; grid computing; grid environment; image processing; neuroimaging data; remote resources; volumetric analysis; Application software; Data analysis; Distributed computing; Grid computing; Image analysis; Image sequence analysis; Magnetic analysis; Magnetic resonance imaging; Neuroimaging; Pattern analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Science and Grid Computing, 2005. First International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7695-2448-6

Type

conf

DOI

10.1109/E-SCIENCE.2005.9

Filename

1572211