Information

  • Publication Type: Invited Talk
  • Workgroup(s)/Project(s):
  • Date: 15. May 2020
  • Event: Mohn Medical Imaging and Visualization Centre (MMIV) Virtual Seminar
  • Location: Bergen, Norway
  • Open Access: yes

Abstract

Visual analytics concerns analytical reasoning supported by interactive visual interfaces. Radiation therapy is a complex treatment approach that requires careful planning. Visual analytics and visual computing are supportive in the entire radiation therapy workflow. After a brief survey on the workflow, concrete examples about radiation therapy planning for pelvic organs will be treated in detail. One example discusses visual analytics for the exploration of radio-therapy-induced bladder toxicity in a cohort study. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. In another example the pelvic organ variability in a cohort of radiotherapy patients is visualized. The application addresses the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. Research challenges and directions are sketched at the end of the talk.

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BibTeX

@talk{Groeller_V2_2020,
  title =      "Visual Analytics in Radiation Therapy Planning",
  author =     "Eduard Gr\"{o}ller",
  year =       "2020",
  abstract =   "Visual analytics concerns analytical reasoning supported by
               interactive visual interfaces. Radiation therapy is a
               complex treatment approach that requires careful planning.
               Visual analytics and visual computing are supportive in the
               entire radiation therapy workflow. After a brief survey on
               the workflow, concrete examples about radiation therapy
               planning for pelvic organs will be treated in detail. One
               example discusses visual analytics for the exploration of
               radio-therapy-induced bladder toxicity in a cohort study.
               Clinical researchers want to correlate bladder shape
               variations to dose deviations and toxicity risk through
               cohort studies, to understand which specific bladder shape
               characteristics are more prone to side effects. In another
               example the pelvic organ variability in a cohort of
               radiotherapy patients is visualized. The application
               addresses the global exploration and analysis of pelvic
               organ shape variability in an abstracted tabular view and
               the local exploration and analysis thereof in anatomical
               2D/3D views, where comparative and ensemble visualizations
               are integrated. Research challenges and directions are
               sketched at the end of the talk.",
  month =      may,
  event =      "Mohn Medical Imaging and Visualization Centre (MMIV) Virtual
               Seminar",
  location =   "Bergen, Norway",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V2_2020/",
}