Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Effective collaborative work in diagnostic medical imaging is not trivial due to the large amounts of complex data involved, a (non-linear) workflow involving experts in different domains, and a lack of versatility in the current tools employed in healthcare. In this paper, we aim to introduce how the integration of visual storytelling techniques together with provenance data in the analytic systems used in medicine can compensate for these issues, by enhancing communication of results and reproducibility of findings through diagnostic provenance data. To this end, we illustrate how we can improve the interaction with provenance data displayed in a graph in order to facilitate authoring and the creation process of visual data stories.
Description
@inproceedings{10.2312:eurovisshort.20181076,
booktitle = {EuroVis 2018 - Short Papers},
editor = {Jimmy Johansson and Filip Sadlo and Tobias Schreck},
title = {{Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration}},
author = {Amabili, Lorenzo and Kosinka, Jiri and Meersbergen, Maarten A. J. van and Ooijen, Peter M. A. van and Roerdink, Jos B. T. M. and Svetachov, Pjotr and Yu, Lingyun},
year = {2018},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-060-4},
DOI = {10.2312/eurovisshort.20181076}
}