<div class="csl-bib-body">
<div class="csl-entry">Raidou, R., Breeuwer, M., & Vilanova i Bartroli, A. (2017). Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline. In S. Bruckner & T. Ropinski (Eds.), <i>EG 2017 - Dirk Bartz Prize</i>. Eurographics. https://doi.org/10.2312/egm.20171042</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/56992
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dc.description.abstract
Prostate cancer is one of the most frequently occurring types of cancer in males. It is often treated with radiation therapy,which aims at irradiating tumors with a high dose, while sparing the surrounding healthy tissues. In the course of the years,radiotherapy technology has undergone great advancements. However, tumors are not only different from each other, theyare also highly heterogeneous within, consisting of regions with distinct tissue characteristics, which should be treated withdifferent radiation doses. Tailoring radiotherapy planning to the specific needs and intra-tumor tissue characteristics of eachpatient is expected to lead to more effective treatment strategies. Currently, clinical research is moving towards this direction,but an understanding of the specific tumor characteristics of each patient, and the integration of all available knowledge into apersonalizable radiotherapy planning pipeline are still required. The present work describes solutions from the field of VisualAnalytics, which aim at incorporating the information from the distinct steps of the personalizable radiotherapy planningpipeline, along with eventual sources of uncertainty, into comprehensible visualizations. All proposed solutions are meantto increase the - up to now, limited - understanding and exploratory capabilities of clinical researchers. These approachescontribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at differentsteps of the radiotherapy planning pipeline, creating a fertile ground for future research in radiotherapy planning.
en
dc.language.iso
en
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dc.publisher
Eurographics
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dc.title
Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
EG 2017 - Dirk Bartz Prize
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dc.relation.issn
1017-4656
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dc.type.category
Full-Paper Contribution
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dc.publisher.place
36
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tuw.booktitle
EG 2017 - Dirk Bartz Prize
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tuw.peerreviewed
true
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tuw.relation.publisher
The Eurographics Association
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.2312/egm.20171042
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dc.description.numberOfPages
4
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tuw.event.name
Eurographics
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tuw.event.startdate
29-08-2005
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tuw.event.enddate
02-09-2005
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Dublin, Irland
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tuw.event.country
IE
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tuw.event.presenter
Raidou, Renata
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
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wb.presentation.type
science to science/art to art
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
restricted
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crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
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crisitem.author.orcid
0000-0003-2468-0664
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology