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    Machine QA for the Elekta Unity system: a report from the Elekta MR-Linac consortium

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    Authors
    Roberts, D. A.
    Sandin, C.
    Vesanen, P. T.
    Lee, H.
    Hanson, I. M.
    Nill, S.
    Perik, T.
    Lim, S. B.
    Vedam, S.
    Yang, J.
    Woodings, S. W.
    Wolthaus, J. W. H.
    Keller, B.
    Budgell, Geoff J
    Chen, X.
    Li, X. A.
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    Affiliation
    Elekta Limited, Cornerstone, London Road, Crawley, RH10 9BL
    Issue Date
    2021
    
    Metadata
    Show full item record
    Abstract
    Over the last few years magnetic resonance image guided radiotherapy systems have been introduced into the clinic, allowing for daily online plan adaption. While quality assurance (QA) is similar to conventional radiotherapy systems, there is a need to introduce or modify measurement techniques. As yet, there is no consensus guidance on the QA equipment and test requirements for such systems. Therefore, this report provides an overview of QA equipment and techniques for mechanical, dosimetric, and imaging performance of such systems and recommendation of the QA procedures, particularly for a 1.5 T MR-Linac device. An overview of the system design and considerations for QA measurements, particularly the effect of the machine geometry and magnetic field on the radiation beam measurements is given. The effect of the magnetic field on measurement equipment and methods is reviewed to provide a foundation for interpreting measurement results and devising appropriate methods. And lastly, a consensus overview of recommended QA, appropriate methods and tolerances is provided based on conventional QA protocols. The aim of this consensus work is to provide a foundation for QA protocols, comparative studies of system performance, and for future development of QA protocols and measurement methods.
    Citation
    Roberts DA, Sandin C, Vesanen PT, Lee H, Hanson IM, Nill S, et al. Machine QA for the Elekta Unity system: A Report from the Elekta MR-linac consortium. Med Phys. 2021.
    Journal
    Medical Physics
    URI
    http://hdl.handle.net/10541/623818
    DOI
    10.1002/mp.14764
    PubMed ID
    33577091
    Additional Links
    https://dx.doi.org/10.1002/mp.14764
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1002/mp.14764
    Scopus Count
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