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Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics

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POSTGRESQL-IE: an image-handling extension for PostgreSQL.

Denise Guliato¹, Ernani V de Melo, Rangaraj M Rangayyan

¹Faculdade de Computação, Universidade Federal de Uberlândia, Av. João Naves de Avila, 2121, 38.400-902, Minas Gerais, Brazil. guliato@ufu.br

Journal of Digital Imaging

|January 25, 2008

Summary

This study introduces PostgreSQL-IE, an open-source extension for PostgreSQL databases, enhancing content-based image retrieval (CBIR) capabilities. It enables efficient storage, feature extraction, and similarity searching for diverse image data, including medical images like mammograms.

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Area of Science:

Computer Science
Database Systems
Image Processing

Background:

Content-based image retrieval (CBIR) systems have seen increased research interest.
Existing CBIR systems are often application-specific, requiring tailored solutions for data management, feature extraction, indexing, and user interfaces.
There is a need for a flexible, open-source, and portable solution to facilitate the development of new CBIR systems.

Purpose of the Study:

To propose and develop an image-handling extension for the PostgreSQL relational database management system (RDBMS).
To create a versatile, application-independent extension named PostgreSQL-IE that enhances CBIR functionalities.
To validate the proposed system through a CBIR application for mammogram analysis.

Main Methods:

Developed PostgreSQL-IE, an extension for PostgreSQL, integrating image handling capabilities.
Extended the structured query language (SQL) with new functions for feature extraction, feature vector composition, and similarity queries.
Introduced a new image data type enabling the association of multiple images with a single attribute and combining visual features.

Main Results:

PostgreSQL-IE provides an open-source, portable solution for CBIR system development.
The extension supports creating new feature extraction procedures and combining existing features into new vectors.
A novel image data type allows for the integration of visual features from multiple images within a single feature vector.

Conclusions:

PostgreSQL-IE offers a robust framework for building diverse CBIR applications.
The extension simplifies the development of advanced image retrieval functionalities within a familiar RDBMS environment.
The mammogram analysis application demonstrates the practical utility and effectiveness of PostgreSQL-IE for specialized image retrieval tasks.