Literature DB >> 18406946

Multileaf collimator characteristics and reliability requirements for IMRT Elekta system.

Chihray Liu1, Thomas A Simon, Christopher Fox, Jonathan Li, Jatinder R Palta.   

Abstract

Understanding the characteristics of a multileaf collimator (MLC) system, modeling MLC in a treatment planning system, and maintaining the mechanical accuracy of the linear accelerator gantry head system are important factors in the safe implementation of an intensity-modulated radiotherapy program. We review the characteristics of an Elekta MLC system, discuss the necessary MLC modeling parameters for a treatment planning system, and provide a novel method to establish an MLC leaf position quality assurance program. To perform quality assurance on 40 pairs of individual MLC leaves is a time-consuming and difficult task. In this report, an effective routine MLC quality assurance method based on the field edge of a backup jaw as referenced in conjunction with a diode array as a radiation detector system is discussed. The sensitivity of this test for determining the relative leaf positions was observed to be better than 0.1 mm. The Elekta MLC leaf position accuracy measured with this system has been better than 0.3 mm.

Mesh:

Year:  2008        PMID: 18406946     DOI: 10.1016/j.ijrobp.2007.07.2392

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  4 in total

1.  The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management.

Authors:  M Saiful Huq; Benedick A Fraass; Peter B Dunscombe; John P Gibbons; Geoffrey S Ibbott; Arno J Mundt; Sasa Mutic; Jatinder R Palta; Frank Rath; Bruce R Thomadsen; Jeffrey F Williamson; Ellen D Yorke
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

2.  Highly efficient and sensitive patient-specific quality assurance for spot-scanned proton therapy.

Authors:  J E Johnson; C Beltran; H Wan Chan Tseung; D W Mundy; J J Kruse; T J Whitaker; M G Herman; K M Furutani
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

3.  Machine learning models to predict the delivered positions of Elekta multileaf collimator leaves for volumetric modulated arc therapy.

Authors:  Sruthi Sivabhaskar; Ruiqi Li; Arkajyoti Roy; Neil Kirby; Mohamad Fakhreddine; Nikos Papanikolaou
Journal:  J Appl Clin Med Phys       Date:  2022-06-07       Impact factor: 2.243

4.  On the sensitivity of patient-specific IMRT QA to MLC positioning errors.

Authors:  Guanghua Yan; Chihray Liu; Thomas A Simon; Lee-Cheng Peng; Christopher Fox; Jonathan G Li
Journal:  J Appl Clin Med Phys       Date:  2009-02-05       Impact factor: 2.102

  4 in total

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