Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration

L. Amabili; J. Kosinka; M.A.J. van Meersbergen; P. M. A. van Ooijen; J. B. T. M. Roerdink; P. Svetachov; L. Yu

doi:10.2312/eurovisshort.20181076

Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration

L. Amabili, J. Kosinka, M.A.J. van Meersbergen, P. M. A. van Ooijen, J. B. T. M. Roerdink, P. Svetachov, L. Yu

Onderzoeksoutput: Conference contribution › Academic › peer review

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Samenvatting

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

Originele taal-2	English
Titel	EuroVis 2018 - Short Papers
Redacteuren	Jimmy Johansson, Filip Sadlo, Tobias Schreck
Uitgeverij	The Eurographics Association
Aantal pagina's	5
ISBN van geprinte versie	978-3-03868-060-4
DOI's	https://doi.org/10.2312/eurovisshort.20181076
Status	Published - 2018
Evenement	EuroVis 2018 : 20th EG/VGTC Conference on Visualization - Masaryk University , Brno, Czech Republic Duur: 4-jun.-2018 → 8-jun.-2018

Conference

Conference	EuroVis 2018
Land/Regio	Czech Republic
Stad	Brno
Periode	04/06/2018 → 08/06/2018

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10.2312/eurovisshort.20181076

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Amabili, L., Kosinka, J., van Meersbergen, M. A. J., van Ooijen, P. M. A., Roerdink, J. B. T. M., Svetachov, P., & Yu, L. (2018). Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration. In J. Johansson, F. Sadlo, & T. Schreck (editors), EuroVis 2018 - Short Papers The Eurographics Association. https://doi.org/10.2312/eurovisshort.20181076

@inproceedings{e842ff8d2b5240f6bc0e68571ef48abe,

title = "Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration",

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 inhealthcare. In this paper, we aim to introduce how the integration of visual storytelling techniques together with provenancedata in the analytic systems used in medicine can compensate for these issues, by enhancing communication of results andreproducibility of findings through diagnostic provenance data. To this end, we illustrate how we can improve the interactionwith provenance data displayed in a graph in order to facilitate authoring and the creation process of visual data stories",

author = "L. Amabili and J. Kosinka and {van Meersbergen}, M.A.J. and {van Ooijen}, {P. M. A.} and Roerdink, {J. B. T. M.} and P. Svetachov and L. Yu",

year = "2018",

doi = "10.2312/eurovisshort.20181076",

language = "English",

isbn = "978-3-03868-060-4",

editor = "Jimmy Johansson and Filip Sadlo and Tobias Schreck",

booktitle = "EuroVis 2018 - Short Papers",

publisher = "The Eurographics Association",

note = "EuroVis 2018 : 20th EG/VGTC Conference on Visualization ; Conference date: 04-06-2018 Through 08-06-2018",

}

Amabili, L, Kosinka, J, van Meersbergen, MAJ, van Ooijen, PMA, Roerdink, JBTM , Svetachov, P & Yu, L 2018, Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration. in J Johansson, F Sadlo & T Schreck (redactie), EuroVis 2018 - Short Papers. The Eurographics Association, EuroVis 2018 , Brno, Czech Republic, 04/06/2018. https://doi.org/10.2312/eurovisshort.20181076

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AU - Amabili, L.

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AU - Yu, L.

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AB - 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 inhealthcare. In this paper, we aim to introduce how the integration of visual storytelling techniques together with provenancedata in the analytic systems used in medicine can compensate for these issues, by enhancing communication of results andreproducibility of findings through diagnostic provenance data. To this end, we illustrate how we can improve the interactionwith provenance data displayed in a graph in order to facilitate authoring and the creation process of visual data stories

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DO - 10.2312/eurovisshort.20181076

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SN - 978-3-03868-060-4

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A2 - Johansson, Jimmy

A2 - Sadlo, Filip

A2 - Schreck, Tobias

PB - The Eurographics Association

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