SU‐E‐T‐805: A GPU‐Based Re‐Planning System for Online Adaptive Radiotherapy

Q. Gautier, X. gu, C. Men, X. Jia, A. Uribe‐sanchez, D. Choi, A. Majumdar, S. Jiang

Research output: Contribution to journalArticlepeer-review


Purpose: To develop a re‐planning platform based on Graphics Processing Unit (GPU). Methods: Our project is based on the Qt framework to build a multi‐platforms GUI and allowing the user to have a control on every step of the process. The GUI is designed to be extended each time a feature is needed. Into this GUI, we have integrated several different modules for each part of the workflow. We have modules for DICOM file handling, image pre‐processing, including structure identification from the contours, automatic rigid registration, CT to Cone Beam CT structure propagation and manual structure alignment. We also have modules for deformable image registration based on the demons algorithm, dose calculation and plan re‐optimization. Most of the modules have been implemented on a GPU to allow high efficiency treatment re‐planning. Also each module comes with a visualization tool to always have control of the entire procedure. Results: We have developed a Qt‐based GUI for online ART. GPU modules for image pre‐processing, deformable registration, dose calculation and plan optimization have been integrated within this GUI. Conclusions: We transformed stand‐alone efficient processing tools into a user‐friendly platform, that can be used by clinicians, in order to have a fast treatment re‐planning, and an overview of the results for plan inspection and approval.

Original languageEnglish (US)
Pages (from-to)3676
Number of pages1
JournalMedical Physics
Issue number6
StatePublished - 2011

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging


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