PACS and Imaging Informatics

Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval

[+] Author Affiliations
Md. Mahmudur Rahman

Morgan State University, Computer Science Department, Calloway 308, 1700 E Cold Spring Lane, Baltimore, Maryland 21251, United States

Sameer K. Antani, Dina Demner-Fushman, George R. Thoma

U.S. National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, Maryland 20894, United States

J. Med. Imag. 2(4), 046502 (Dec 30, 2015). doi:10.1117/1.JMI.2.4.046502
History: Received January 7, 2015; Accepted November 23, 2015
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Abstract.  This article presents an approach to biomedical image retrieval by mapping image regions to local concepts where images are represented in a weighted entropy-based concept feature space. The term “concept” refers to perceptually distinguishable visual patches that are identified locally in image regions and can be mapped to a glossary of imaging terms. Further, the visual significance (e.g., visualness) of concepts is measured as the Shannon entropy of pixel values in image patches and is used to refine the feature vector. Moreover, the system can assist the user in interactively selecting a region-of-interest (ROI) and searching for similar image ROIs. Further, a spatial verification step is used as a postprocessing step to improve retrieval results based on location information. The hypothesis that such approaches would improve biomedical image retrieval is validated through experiments on two different data sets, which are collected from open access biomedical literature.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Md. Mahmudur Rahman ; Sameer K. Antani ; Dina Demner-Fushman and George R. Thoma
"Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval", J. Med. Imag. 2(4), 046502 (Dec 30, 2015). ; http://dx.doi.org/10.1117/1.JMI.2.4.046502


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