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The Era of Interactive Media pp 15–24Cite as

Thesaurus-Assistant Query Expansion for Context-Based Medical Image Retrieval

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Abstract

While medical image retrieval using visual feature has poor performance, context-based retrieval emerges as a more easy and effective solution. And medical domain knowledge can also be used to boost the text-based image retrieval. In this paper, UMLS metathasaurus is used to expand query for retrieving medical images by their context information. The proposed query expansion method is with a phrase-based retrieval model, which is implemented based on Indri search engine and their structured query language. In the phrase-based retrieval model, original query and syntax phrases are used to formulate a structured query. The concepts detected from the original query and their hyponyms are used to append query, and added to the structured query. Both phrases and medical concepts are identified with the help of the MetaMap program. Our approach was evaluated on ImageCLEFmed 2010 dataset, which contains more than 77,000 images and their captions from online medical journals. Several representations of phrase and concept were also compared in experiments. The experimental results show the effectiveness of our approach for context-based medical image retrieval.

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Acknowledgements

This research is partly supported by the National Science Foundation of China under grants 60873185 and the Open Project Program of the National Laboratory of Pattern Recognition (NLPR).

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, P. R., China

    Hong Wu & Chengbo Tian

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  1. Hong Wu
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  2. Chengbo Tian
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Correspondence to Hong Wu .

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Wu, H., Tian, C. (2013). Thesaurus-Assistant Query Expansion for Context-Based Medical Image Retrieval. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_2

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  • DOI: https://doi.org/10.1007/978-1-4614-3501-3_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3500-6

  • Online ISBN: 978-1-4614-3501-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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