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Published on: May 12, 2019
Integrating data-mining support into a brain-image database using open-source components
E H Herskovits1, M I Owis, R Chen
1Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA. ehh@ieee.org
Purpose:
Previously, we described our implementation of a brain-image database (braid), based on the proprietary object relational database-management system (ORDBMS) Illustra [1]. In conjunction with our collaborators, we have used this database to manage and analyze image and clinical data from what we call image-based clinical trials (IBCTs). Herein we describe the results of redesigning braid using open-source components, and integrating support for mining image and clinical data from braid's user interface.
Material And Methods:
We re-designed and re-implemented braid using open-source components, including PostgreSQL, gcc, and PHP. We integrated data-mining algorithms into braid, based on PL/R, a PostgreSQL package to support efficient communication between R and PostgreSQL.
Results:
We present a sample clinical study to demonstrate how clinicians can perform queries for visualization, statistical analysis, and data mining, using a web-based interface.
Conclusion:
We have developed a database system with data-mining capabilities for managing, querying, analyzing and visualizing brain-MR images. We implemented this system using open-source components, with the express goal of wide dissemination throughout the neuroimaging research community.
