Intensity modulated proton therapy plan generation in under ten seconds.

Background: Treatment planning for intensity modulated proton therapy (IMPT) can be significantly improved by reducing the time for plan calculation, facilitating efficient sampling of the large solution space characteristic of IMPT treatments. Additionally, fast plan generation is a key for online...

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Publicado en:Acta Oncologica Vol. 58; no. 10; pp. 1435 - 1440
Autores principales: Matter, Michael, Nenoff, Lena, Meier, Gabriel, Weber, Damien C., Lomax, Antony J., Albertini, Francesca
Formato: diagnostic images research tables/charts Journal Article
Publicado: Medical Journals Sweden AB Oct2019
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Acta Oncologica
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      dt: Oct2019
      vid: 58
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      pub: Medical Journals Sweden AB
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        10.1080/0284186X.2019.1630753
        139293718
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        atl: Intensity modulated proton therapy plan generation in under ten seconds.
      aug:
        au:
          Matter, Michael
          Nenoff, Lena
          Meier, Gabriel
          Weber, Damien C.
          Lomax, Antony J.
          Albertini, Francesca
        affil: Center for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland
      sug:
        subj:
          Proton Therapy Methods
          Radiation Dosage
          Time Factors
          Human
          Computer Graphics
          Algorithms
          Tomography, X-Ray Computed
          Radiotherapy Methods
      ab: Background: Treatment planning for intensity modulated proton therapy (IMPT) can be significantly improved by reducing the time for plan calculation, facilitating efficient sampling of the large solution space characteristic of IMPT treatments. Additionally, fast plan generation is a key for online adaptive treatments, where the adapted plan needs to be ideally available in a few seconds. However, plan generation is a computationally demanding task and, although dose restoration methods for adaptive therapy have been proposed, computation times remain problematic. Material and methods: IMPT plan generation times were reduced by the development of dedicated graphical processing unit (GPU) kernels for our in-house, clinically validated, dose and optimization algorithms. The kernels were implemented into a coherent system, which performed all steps required for a complete treatment plan generation. Results: Using a single GPU, our fast implementation was able to generate a complete new treatment plan in 5–10 sec for typical IMPT cases, and in under 25 sec for plans to very large volumes such as for cranio-spinal axis irradiations. Although these times did not include the manual input of optimization parameters or a final clinical dose calculation, they included all required computational steps, including reading of CT and beam data. In addition, no compromise was made on plan quality. Target coverage and homogeneity for four patient plans improved (by up to 6%) or remained the same (changes <1%). No worsening of dose-volume parameters of the relevant organs at risk by more than 0.5% was observed. Conclusions: Fast plan generation with a clinically validated dose calculation and optimizer is a promising approach for daily adaptive proton therapy, as well as for automated or highly interactive planning.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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