SCORE system for online adaptive radiotherapy

Zhen Tian, Quentin Gautier, Xuejun Gu, Chunhua Men, Fei Peng, Masoud Zarepisheh, Yan Jiang Graves, Andres Uribe-Sanchez, Xun Jia, Steve B. Jiang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

IN THE CURRENT RADIATION therapy practice, treatment plans are generated based on a snapshot of the patient’s anatomy captured during treatment simulation and then delivered fractionally over a number of weeks. However, the patient’s anatomy may vary significantly from fraction to fraction. These variations occur when a patient loses weight, when the tumor regresses during therapy [1-3], when organs such as bladder and rectum have different filling status [4], etc. With the advent of onboard cone-beam computed tomography (CBCT), interfraction geometry variations can be readily measured before each treatment fraction and the static radiation therapy process can potentially be transformed into a dynamic one, that is, online adaptive radiation therapy (ART) [5,6].

Original languageEnglish (US)
Title of host publicationGraphics Processing Unit-Based High Performance Computing in Radiation Therapy
PublisherCRC Press
Pages351-366
Number of pages16
ISBN (Electronic)9781482244793
ISBN (Print)9781482244786
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Medicine(all)
  • Physics and Astronomy(all)

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