Matthias Schlachter, Renata RaidouORCID iD, Ludvig Paul Muren, Bernhard Preim, Katja BühlerORCID iD
State-of-the-Art Report: Visual Computing in Radiation Therapy Planning
Computer Graphics Forum, 3(38):753-779, June 2019.

Information

  • Publication Type: Journal Paper with Conference Talk
  • Workgroup(s)/Project(s):
  • Date: June 2019
  • Journal: Computer Graphics Forum
  • Volume: 3
  • Number: 38
  • Lecturer: Renata RaidouORCID iD
  • Event: EuroVis 2019
  • Call for Papers: Call for Paper
  • Conference date: 2019
  • Pages: 753 – 779

Abstract

Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which requires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of RT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological advancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of the compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process is described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and an extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The survey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.

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BibTeX

@article{raidou_star2019,
  title =      "State-of-the-Art Report: Visual Computing in Radiation
               Therapy Planning",
  author =     "Matthias Schlachter and Renata Raidou and Ludvig Paul Muren
               and Bernhard Preim and Katja B\"{u}hler",
  year =       "2019",
  abstract =   "Radiation therapy (RT) is one of the major curative
               approaches for cancer. It is a complex and risky treatment
               approach, which requires precise planning, prior to the
               administration of the treatment. Visual Computing (VC) is a
               fundamental component of RT planning, providing solutions in
               all parts of the process—from imaging to delivery. Despite
               the significant technological advancements of RT over the
               last decades, there are still many challenges to address.
               This survey provides an overview of the compound planning
               process of RT, and of the ways that VC has supported RT in
               all its facets. The RT planning process is described to
               enable a basic understanding in the involved data, users and
               workflow steps. A systematic categorization and an extensive
               analysis of existing literature in the joint VC/RT research
               is presented, covering the entire planning process. The
               survey concludes with a discussion on lessons learnt,
               current status, open challenges, and future directions in
               VC/RT research.",
  month =      jun,
  journal =    "Computer Graphics Forum",
  volume =     "3",
  number =     "38",
  pages =      "753--779",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/",
}