A generic concept for the implementation of medical image retrieval systems.
This paper presents a technical framework to support the development and installation of system for content-based image retrieval in medical applications (IRMA). A strict separation of feature extraction, feature storage, feature comparison, and the user interfaces is suggested. This allows to reuse implemented components in different retrieval algorithms, which improves software quality, shortens the development cycle for applications, and allows to introduce standardized end-user interfaces. Based on the proposed framework, the IRMA engine has been established, which is currently used to evaluate content-based retrieval methods on a collection of 20,000 medical and 135,000 non-medical images.
Güld
Mark O
MO
Department of Medical Informatics, Aachen University of Technology (RWTH), Pauwelsstr 30, D-52062 Aachen, Germany. mgueld@mi.rwth-aachen.de
Thies
Christian
C
Fischer
Benedikt
B
Lehmann
Thomas M
TM
D000465:Algorithms; D003628:Database Management Systems; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D011873:Radiology Information Systems