A Multimodal Search Engine for Medical Imaging Studies.

The use of digital medical imaging systems in healthcare institutions has increased significantly, and the large amounts of data in these systems have led to the conception of powerful support tools: recent studies on content-based image retrieval (CBIR) and multimodal information retrieval in the f...

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Detalles Bibliográficos
Publicado en:Journal of Digital Imaging Vol. 30; no. 1; pp. 39 - 49
Autores principales: Pinho, Eduardo, Godinho, Tiago, Valente, Frederico, Costa, Carlos
Formato: equations & formulas pictorial Journal Article
Publicado: Springer Nature Feb2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2017
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      pub: Springer Nature
      place: New York, New York
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          Pinho, Eduardo
          Godinho, Tiago
          Valente, Frederico
          Costa, Carlos
        affil: DETI/IEETA , Universidade de Aveiro , Campus Universitário de Santiago 3810-193 Aveiro Portugal
      sug:
        subj:
          Diagnostic Imaging
          Web Search Engines
          Image Retrieval Methods
          Software Design
          Graphical User Interface
          Information Storage
          Reproducibility of Results
      ab: The use of digital medical imaging systems in healthcare institutions has increased significantly, and the large amounts of data in these systems have led to the conception of powerful support tools: recent studies on content-based image retrieval (CBIR) and multimodal information retrieval in the field hold great potential in decision support, as well as for addressing multiple challenges in healthcare systems, such as computer-aided diagnosis (CAD). However, the subject is still under heavy research, and very few solutions have become part of Picture Archiving and Communication Systems (PACS) in hospitals and clinics. This paper proposes an extensible platform for multimodal medical image retrieval, integrated in an open-source PACS software with profile-based CBIR capabilities. In this article, we detail a technical approach to the problem by describing its main architecture and each sub-component, as well as the available web interfaces and the multimodal query techniques applied. Finally, we assess our implementation of the engine with computational performance benchmarks.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        Journal Article
      ougenre: Article
    language: English
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