BIRAM: a content-based image retrieval framework for medical images

Ramon A. Moreno; Sergio S. Furuie

doi:10.1117/12.654130

16 March 2006 BIRAM: a content-based image retrieval framework for medical images

Ramon A. Moreno, Sergio S. Furuie

Proceedings Volume 6145, Medical Imaging 2006: PACS and Imaging Informatics; 61450L (2006) https://doi.org/10.1117/12.654130
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In the medical field, digital images are becoming more and more important for diagnostics and therapy of the patients. At the same time, the development of new technologies has increased the amount of image data produced in a hospital. This creates a demand for access methods that offer more than text-based queries for retrieval of the information. In this paper is proposed a framework for the retrieval of medical images that allows the use of different algorithms for the search of medical images by similarity. The framework also enables the search for textual information from an associated medical report and DICOM header information. The proposed system can be used for support of clinical decision making and is intended to be integrated with an open source picture, archiving and communication systems (PACS). The BIRAM has the following advantages: (i) Can receive several types of algorithms for image similarity search; (ii) Allows the codification of the report according to a medical dictionary, improving the indexing of the information and retrieval; (iii) The algorithms can be selectively applied to images with the appropriated characteristics, for instance, only in magnetic resonance images. The framework was implemented in Java language using a MS Access 97 database. The proposed framework can still be improved, by the use of regions of interest (ROI), indexing with slim-trees and integration with a PACS Server.

Citation Download Citation

Ramon A. Moreno and Sergio S. Furuie "BIRAM: a content-based image retrieval framework for medical images", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450L (16 March 2006); https://doi.org/10.1117/12.654130

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