Research Article
Applying trajectory mining in medical image data
@INPROCEEDINGS{10.1145/3154862.3154889, author={Roland Ellerweg and Katharina Hofer and Artur Khromov and Peter Voigt and Sebastian Fischer}, title={Applying trajectory mining in medical image data}, proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare}, publisher={ACM}, proceedings_a={PERVASIVEHEALTH}, year={2018}, month={1}, keywords={radiology; data mining; trajectory; medical imaging; user experiment}, doi={10.1145/3154862.3154889} }- Roland Ellerweg
Katharina Hofer
Artur Khromov
Peter Voigt
Sebastian Fischer
Year: 2018
Applying trajectory mining in medical image data
PERVASIVEHEALTH
ACM
DOI: 10.1145/3154862.3154889
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.
Copyright © 2017–2024 EAI
