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...
| Publicado en: | Acta Oncologica Vol. 58; no. 10; pp. 1435 - 1440 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Medical Journals Sweden AB
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139293718&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139293718 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0284186X B84 jtl: Acta Oncologica issn: 0284186X maglogo: N pubinfo: dt: Oct2019 vid: 58 iid: 10 pid: 59195 pub: Medical Journals Sweden AB artinfo: ui: 139293718 139293718 139293718 10.1080/0284186X.2019.1630753 139293718 ppf: 1435 ppct: 5 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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