Literature DB >> 30153966

Accuracy and efficiency of graphics processing unit (GPU) based Acuros XB dose calculation within the Varian Eclipse treatment planning system.

Trent Aland1, Anthony Walsh2, Mark Jones2, Angelina Piccini2, Aimee Devlin2.   

Abstract

To evaluate, in terms of dosimetric accuracy and calculation efficiency, the implementation of a graphic processing unit (GPU)-based Acuros XB dose calculation engine within version 15.5 of the Varian Eclipse treatment planning system. Initial phantom based calculations and a range of 101 clinical cases were analyzed on a dedicated test system. Dosimetric differences, based on dose-volume histrogram parameters and plan comparison, were compared between central processing unit (CPU) and GPU based calculation. Calculation times were also compared between CPU and GPU, as well as PLAN and FIELD modes. No dosimetric differences were found between CPU and GPU. CPU based calculations ranged from 25 to 533 seconds per plan, reducing to 13 to 70 seconds for GPU. GPU was 4.4 times more efficient than CPU. FIELD mode was up to 1.3 times more efficient than PLAN mode. For the clinical cases and version of Eclipse used, no dosimetric differences were found between CPU and GPU. Based on this, GPU architecture has been safely implemented and is ready for clinical use. GPU based calculation times were superior to CPU, being on average, 4.4 times faster.
Copyright © 2018 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.

Keywords:  AcurosXB; Algorithm; Eclipse; GPU

Mesh:

Year:  2018        PMID: 30153966     DOI: 10.1016/j.meddos.2018.07.002

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  3 in total

1.  Deep DoseNet: a deep neural network for accurate dosimetric transformation between different spatial resolutions and/or different dose calculation algorithms for precision radiation therapy.

Authors:  Peng Dong; Lei Xing
Journal:  Phys Med Biol       Date:  2020-02-04       Impact factor: 3.609

2.  Validation of the preconfigured Varian Ethos Acuros XB Beam Model for treatment planning dose calculations: A dosimetric study.

Authors:  Yunfei Hu; Mikel Byrne; Ben Archibald-Heeren; Nick Collett; Guilin Liu; Trent Aland
Journal:  J Appl Clin Med Phys       Date:  2020-10-17       Impact factor: 2.102

3.  Varian ethos online adaptive radiotherapy for prostate cancer: Early results of contouring accuracy, treatment plan quality, and treatment time.

Authors:  Mikel Byrne; Ben Archibald-Heeren; Yunfei Hu; Amy Teh; Rhea Beserminji; Emma Cai; Guilin Liu; Angela Yates; James Rijken; Nick Collett; Trent Aland
Journal:  J Appl Clin Med Phys       Date:  2021-11-29       Impact factor: 2.102

  3 in total

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