Image processing for the grid: a toolkit for building grid-enabled image processing applications

Author

Hastings, Shannon ; Kurc, Tahsin ; Langella, Stephen ; Catalyurek, Umit ; Pan, Tony ; Saltz, Joel

Author_Institution

Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA

fYear

2003

fDate

12-15 May 2003

Firstpage

36

Lastpage

43

Abstract

Analyzing large and distributed image datasets is a crucial step in understanding the structural and functional characteristics of biological systems. In this paper, we present the design and implementation of a toolkit that allows rapid and efficient development of biomedical image analysis applications in a distributed environment. This toolkit employs the Insight Segmentation and Registration Toolkit (ITK) and Visualization Toolkit (VTK) layered on a component-based framework. We present experimental results on a cluster of workstations.

Keywords

data visualisation; grid computing; image registration; image segmentation; medical image processing; workstation clusters; ITK; VTK; biological system; biomedical image analysis; distributed environment; distributed image dataset analysis; grid computing; image processing; image segmentation; registration toolkit; visualization toolkit; workstation cluster; Data analysis; Image analysis; Image databases; Image processing; Image resolution; Image segmentation; Image storage; Indexing; Microscopy; Tiles;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on

Print_ISBN

0-7695-1919-9

Type

conf

DOI

10.1109/CCGRID.2003.1199350

Filename

1199350