Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning

Renata Raidou
Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018, 2018. [

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Information

Publication Type: Journal Paper with Conference Talk
Workgroup(s)/Project(s):
- Visualization Group
Date: 2018
Call for Papers: Call for Paper
Date (from): 2018
Date (to): 2018
Event: EuroRV3
Journal: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018
Booktitle: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018
Cross Reference: EuroRV3-proc
Pages: 013-017

Abstract

Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps include several sources of uncertainty, which can be detrimental for the successful outcome of the treatment. In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step of the planning pipeline. We additionally document our opinion on topics that have not been yet addressed, and could be interesting directions for future work.

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BibTeX

@article{raidou2018_rv3,
  title =      "Uncertainty Visualization: Recent Developments and Future
               Challenges inProstate Cancer Radiotherapy Planning",
  author =     "Renata Raidou",
  year =       "2018",
  abstract =   "Radiotherapy is one of the most common treatment strategy
               for prostate cancer. Prior to radiotherapy, a complex
               process consisting of several steps is employed to create an
               optimal treatment plan. However, all these steps include
               several sources of uncertainty, which can be detrimental for
               the successful outcome of the treatment. In this work, we
               present a number of strategies from the field of Visual
               Analytics that have been recently designed and implemented,
               for the visualization of data, processes and uncertainties
               at each step of the planning pipeline. We additionally
               document our opinion on topics that have not been yet
               addressed, and could be interesting directions for future
               work.",
  journal =    "EuroVis Workshop on Reproducibility, Verification, and
               Validation in Visualization (EuroRV3) 2018",
  booktitle =  "EuroVis Workshop on Reproducibility, Verification, and
               Validation in Visualization (EuroRV3) 2018",
  crossref =   "EuroRV3-proc",
  pages =      "013-017",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/",
}