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Content-Based Medical Image Retrieval and Intelligent Interactive Visual Browser for Medical Education, Research and

Camilo G Sotomayor1,2,3, Marcelo Mendoza4, Víctor Castañeda2,5

  • 1Radiology Department, Clinical Hospital University of Chile, University of Chile, Santiago 8380453, Chile.

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This study introduces a new content-based image retrieval (CBIR) system for medical imaging. It enables efficient searching and navigation of large medical image repositories using visual similarity, improving access for education, research, and care.

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clinicalcontent-based image retrievaleducationimaginginteractive visual browserquery-by-exampleresearch

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Area of Science:

  • Medical Imaging Informatics
  • Artificial Intelligence in Healthcare
  • Computer Vision for Medicine

Background:

  • Large-scale medical image repositories are crucial for education, research, and clinical care.
  • Current text-based search methods for these repositories are inefficient and time-consuming.
  • A need exists for advanced retrieval systems to overcome limitations of traditional search engines.

Purpose of the Study:

  • To develop a novel content-based image retrieval (CBIR) system for medical imaging.
  • To create an intelligent visual browser for efficient navigation of large medical image datasets.
  • To enhance the accessibility and usability of medical imaging repositories.

Main Methods:

  • Development of a CBIR system integrating two deep learning-based image processing architectures.
  • Design of an interactive visual browser displaying similar imaging examinations on a similarity map.
  • Implementation of a system supporting both visual query-by-example and text-keyword searches.
  • Inclusion of an anonymizer service and adherence to international interoperability standards.

Main Results:

  • The developed CBIR system and visual browser facilitate efficient searching and navigation of medical imaging repositories.
  • The system effectively handles incomplete or curated metadata.
  • Healthcare professionals indicated high utility for the proposed CBIR system and visual browser.
  • The system is designed for seamless integration into electronic healthcare systems.

Conclusions:

  • The novel CBIR system and intelligent visual browser represent a significant advancement in medical image retrieval.
  • This technology has the potential to greatly benefit medical education, research, and patient care.
  • Further comprehensive evaluations by medical imaging specialists are recommended to fully assess system performance.