Fast 3D dosimetric verifications based on an electronic portal imaging device using a GPU calculation engine.

Purpose: To use a graphic processing unit (GPU) calculation engine to implement a fast 3D pre-treatment dosimetric verification procedure based on an electronic portal imaging device (EPID).Methods: The GPU algorithm includes the deconvolution and convolution method for the fluence-map calculations,...

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Publicado en:Radiation Oncology Vol. 10; no. 1; pp. 85 - 86
Autores principales: Zhu, Jinhan, Chen, Lixin, Chen, Along, Luo, Guangwen, Deng, Xiaowu, Liu, Xiaowei
Formato: Journal Article
Publicado: BioMed Central 2015
Acceso en línea:Ver este registro en EBSCOhost
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      pub: BioMed Central
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        109724205
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        10.1186/s13014-015-0387-7
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        atl: Fast 3D dosimetric verifications based on an electronic portal imaging device using a GPU calculation engine.
      aug:
        au:
          Zhu, Jinhan
          Chen, Lixin
          Chen, Along
          Luo, Guangwen
          Deng, Xiaowu
          Liu, Xiaowei
      sug:
      ab: Purpose: To use a graphic processing unit (GPU) calculation engine to implement a fast 3D pre-treatment dosimetric verification procedure based on an electronic portal imaging device (EPID).Methods: The GPU algorithm includes the deconvolution and convolution method for the fluence-map calculations, the collapsed-cone convolution/superposition (CCCS) algorithm for the 3D dose calculations and the 3D gamma evaluation calculations. The results of the GPU-based CCCS algorithm were compared to those of Monte Carlo simulations. The planned and EPID-based reconstructed dose distributions in overridden-to-water phantoms and the original patients were compared for 6 MV and 10 MV photon beams in intensity-modulated radiation therapy (IMRT) treatment plans based on dose differences and gamma analysis.Results: The total single-field dose computation time was less than 8 s, and the gamma evaluation for a 0.1-cm grid resolution was completed in approximately 1 s. The results of the GPU-based CCCS algorithm exhibited good agreement with those of the Monte Carlo simulations. The gamma analysis indicated good agreement between the planned and reconstructed dose distributions for the treatment plans. For the target volume, the differences in the mean dose were less than 1.8%, and the differences in the maximum dose were less than 2.5%. For the critical organs, minor differences were observed between the reconstructed and planned doses.Conclusions: The GPU calculation engine was used to boost the speed of 3D dose and gamma evaluation calculations, thus offering the possibility of true real-time 3D dosimetric verification.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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