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IEEE Trans Inf Technol Biomed. 2008 Mar;12(2):154-61. doi: 10.1109/TITB.2007.908466.

Large-scale biomedical image analysis in grid environments.

Author information

1
Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA. vijayskumar@bmi.osu.edu

Abstract

This paper presents the application of a component-based Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have developed parallel, out-of-core techniques for different classes of data processing operations employed on images from confocal microscopy scanners. These techniques are combined into a data preprocessing and analysis pipeline using the component-based middleware system. The experimental results show that: 1) our implementation achieves good performance and can handle very large datasets on high-performance Grid nodes, consisting of computation and/or storage clusters and 2) it can take advantage of Grid nodes connected over high-bandwidth wide-area networks by combining task and data parallelism.

PMID:
18348945
PMCID:
PMC3294419
DOI:
10.1109/TITB.2007.908466
[Indexed for MEDLINE]
Free PMC Article

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