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Related Experiment Videos

A web service-based Grid portal for Edgebreaker compression.

G Aloisio1, M C Barba, E Blasi

  • 1Center for Advanced Computational Techniques/ISUFI, Dept. of Innovation Engineering, University of Lecce, via per Monteroni, 73100 Lecce, Italy. giovanni.aloisio@unile.it

Methods of Information in Medicine
|June 1, 2005
PubMed
Summary

This study implements Edgebreaker compression via web services in a Grid portal for efficient 3D medical image transfer. This enables faster processing and remote visualization of large datasets.

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Area of Science:

  • Computer Science
  • Medical Imaging
  • Grid Computing

Background:

  • Increasing internet access to 3D datasets necessitates efficient compression for rapid transfer.
  • Grid and Web Services technologies offer a framework for interoperable application interactions.

Purpose of the Study:

  • Implement Edgebreaker compression using web services within a Grid Portal.
  • Enable distributed processing and delivery of biomedical images (CT, MRI) using computational Grids.

Main Methods:

  • Deployed Edgebreaker Compression Web Service on a Grid portal.
  • Utilized Globus Toolkit GSI for secure compression/decompression of 3D data.
  • Modified the algorithm to support compression of multi-object files.

Main Results:

Related Experiment Videos

  • Presented implementation of Edgebreaker compression technique with experimental results.
  • Demonstrated efficient storage and preprocessing of large 3D datasets.
  • Facilitated subsequent efficient transmission for remote visualization.

Conclusions:

  • The developed Grid portal effectively utilizes Edgebreaker compression for handling large 3D medical image datasets.
  • The approach enables efficient data transmission and remote visualization in a distributed environment.
  • This integration enhances the utility of Grid technologies for biomedical applications.