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Applying trajectory mining in medical image data

Published:23 May 2017Publication History

ABSTRACT

During evaluation of CT or MR images radiologists navigate through a volume in different orientations in order to detect a disease. While doing so, they leave a trail, which might hold valuable information for other clinicians. Unfortunately, current systems do not analyze this trail for certain motions or potential patterns. In this work we developed and implemented different strategies to infer the manifestation of a disease from the trail of inspection. Furthermore we evaluate the effectiveness of these strategies by conducting an experiment in which clinicians had to find a tumor in several cases. The results suggest that inferring suspicious areas from the trail is possible.

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  • Published in

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    PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
    May 2017
    503 pages
    ISBN:9781450363631
    DOI:10.1145/3154862

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 23 May 2017

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