Title
A pattern similarity scheme for medical image retrieval
Abstract
In this paper, we propose a novel scheme for efficient content-based medical image retrieval, formalized according to the PAtterns for Next generation DAtabase systems (PANDA) framework for pattern representation and management. The proposed scheme involves block-based low-level feature extraction from images followed by the clustering of the feature space to form higher-level, semantically meaningful patterns. The clustering of the feature space is realized by an expectation-maximization algorithm that uses an iterative approach to automatically determine the number of clusters. Then, the 2-component property of PANDA is exploited: the similarity between two clusters is estimated as a function of the similarity of both their structures and the measure components. Experiments were performed on a large set of reference radiographic images, using different kinds of features to encode the low-level image content. Through this experimentation, it is shown that the proposed scheme can be efficiently and effectively applied for medical image retrieval from large databases, providing unsupervised semantic interpretation of the results, which can be further extended by knowledge representation methodologies.
Year
DOI
Venue
2009
10.1109/TITB.2008.923144
IEEE Transactions on Information Technology in Biomedicine
Keywords
Field
DocType
content management,information retrieval,patterns,semantic interpretation,image retrieval,cluster analysis,radiography,algorithms,feature space,database systems,feature extraction,expectation maximization algorithm,iterative methods,knowledge representation,semantics,database system,diagnostic imaging,biomedical imaging
Data mining,Computer science,Semantic interpretation,Image retrieval,Artificial intelligence,Content management,Cluster analysis,Computer vision,Knowledge representation and reasoning,Feature vector,Pattern recognition,Feature extraction,Visual Word
Journal
Volume
Issue
ISSN
13
4
1089-7771
Citations 
PageRank 
References 
28
1.11
31
Authors
6
Name
Order
Citations
PageRank
Dimitris K. Iakovidis123418.81
Nikos Pelekis288159.28
Evangelos E. Kotsifakos3854.98
Ioannis Kopanakis426416.68
Haralampos Karanikas5413.90
Yannis Theodoridis63155266.14