NDLI: Extending relational databases to support content-based retrieval of medical images

Content Provider	IEEE Xplore Digital Library
Author	Araujo, M.R.B. Traina Jr., C. Traina, A. Bueno, J.M. Razente, H.L.
Copyright Year	2002
Description	Author affiliation: Comput. Sci. Dept., Univ. of Sao Paulo, Sao Carlos, Brazil (Araujo, M.R.B.; Traina, C., Jr.; Traina, A.; Bueno, J.M.; Razente, H.L.)
Abstract	This paper shows how to support images in a relational database, so it can fulfill the requirements to be used as the storage mechanism of a PACS. This support includes the ability to answer similarity queries based on the image content, providing fast image retrieval based on indexing structures. The main concept allowing this support is the definition of distance functions based on features, which are extracted from the images as they are stored in the database. An extension to SQL enables the construction of an interpreter that intercepts the extended commands and translates them into standard SQL, allowing one to take advantage of any relational database server. We describe experiments made with a prototype implemented using these concepts, which allowed answering queries up to 20 times faster than using existing relational servers alone.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Comput. Med. Univ. Maribor, Faculty of Electr. Eng. & Comput. Sci
Starting Page	303
Ending Page	308
File Size	405716
Page Count	6
File Format	PDF
ISBN	0769516149
ISSN	10637125
DOI	10.1109/CBMS.2002.1011393
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-04
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational databases Information retrieval Image retrieval Content based retrieval Biomedical imaging Image storage Picture archiving and communication systems Indexing Feature extraction Image databases
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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