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

被引：19

作者：

Hastings, S ^{[1
]}

Kurc, T ^{[1
]}

Langella, S ^{[1
]}

Catalyurek, U ^{[1
]}

Pan, T ^{[1
]}

Saltz, J ^{[1
]}

机构：

[1] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA

来源：

CCGRID 2003: 3RD IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/CCGRID.2003.1199350

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：36 / 43

页数：8

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