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Related Experiment Video

Updated: Jul 11, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

A contextual medical image viewer.

Ramon Alfredo Moreno¹, Sérgio Shiguemi Furuie

¹Heart Institute (InCor), University of São Paulo Medical School, São Paulo 80305, Brazil. ramon.moreno@incor.usp.br

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|October 5, 2007

Summary

This study introduces a new medical image viewer that uses contextual information to enhance electronic health records. The Dynamic N-dimensional Image Viewer (ODIN) adapts to user needs for better healthcare professional support.

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Area of Science:

Medical Informatics
Computer Science

Background:

Conventional medical image viewers lack the advanced capabilities needed for comprehensive electronic health records.
Integrating contextual information can significantly improve healthcare professional workflows.

Purpose of the Study:

To propose and implement an architecture for a medical image viewer that leverages contextual information.
To enhance the functionality of electronic health records through intelligent image visualization.

Main Methods:

Developed a context-aware architecture comprising an ontology and an inference engine.
Implemented the architecture in a Java-based system named Dynamic N-dimensional Image Viewer (ODIN).

Main Results:

The ODIN system demonstrates the ability to adapt its behavior based on contextual information.
The proposed architecture successfully integrates contextual data for improved medical image viewing.

Conclusions:

Context-aware visualization is crucial for advancing medical image viewers and electronic health records.
The ODIN system offers a novel approach to dynamic and adaptive medical image display in healthcare settings.