Related Experiment Video
Updated: Jul 10, 2026
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Published on: May 20, 2016
Partitioning medical image databases for content-based queries on a Grid
J Montagnat1, V Breton, I E Magnin
1CREATIS, bâtiment B. Pascal, 20 av. A. Einstein, 69621 Villeurbanne Cedex, France. johan@creatis.insa-lyon.fr
Objectives:
In this paper we study the impact of executing a medical image database query application on the grid. For lowering the total computation time, the image database is partitioned into subsets to be processed on different grid nodes.
Methods:
A theoretical model of the application complexity and estimates of the grid execution overhead are used to efficiently partition the database.
Results:
We show results demonstrating that smart partitioning of the database can lead to significant improvements in terms of total computation time.
Conclusions:
Grids are promising for content-based image retrieval in medical databases.
