Survey: Real-time tumor motion prediction for image-guided radiation treatment

Poonam S. Verma, Huanmei Wu, Mark Langer, Indra J. Das, George Sandison

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there's a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.

Original languageEnglish
Article number5551102
Pages (from-to)24-35
Number of pages12
JournalComputing in Science and Engineering
Volume13
Issue number5
DOIs
StatePublished - Sep 2011

Fingerprint

Tumors
Radiotherapy
Radiation
Dosimetry
Tissue

Keywords

  • IGRT
  • Image-guided radiation therapy
  • predictive models
  • scientific computing
  • tumor motion

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Survey : Real-time tumor motion prediction for image-guided radiation treatment. / Verma, Poonam S.; Wu, Huanmei; Langer, Mark; Das, Indra J.; Sandison, George.

In: Computing in Science and Engineering, Vol. 13, No. 5, 5551102, 09.2011, p. 24-35.

Research output: Contribution to journalArticle

Verma, Poonam S. ; Wu, Huanmei ; Langer, Mark ; Das, Indra J. ; Sandison, George. / Survey : Real-time tumor motion prediction for image-guided radiation treatment. In: Computing in Science and Engineering. 2011 ; Vol. 13, No. 5. pp. 24-35.
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