Summary
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.
Keywords
Medical images - content-based retrieval - databases search - Grid computing