Machine QA for the Elekta Unity system: A Report from the Elekta MR‐linac consortium. Issue 5 (1st April 2021)

• Record Type: Journal Article
• Authors: Roberts, David A.; Sandin, Carlos; Vesanen, Panu T.; Lee, Hannah; Hanson, Ian M.; Nill, Simeon; Perik, Thijs; Lim, Seng Boh; Vedam, Sastry; Yang, Jinzhong; Woodings, Simon W.; Wolthaus, Jochem W. H.; Keller, Brian; Budgell, Geoff; Chen, Xinfeng; Li, X. Allen
• Is Part Of: Medical physics. Volume 48:Issue 5(2021)
• Page Start: e67
• Page End: e85
• Publication Date: 2021-04-01
• Subjects: radiotherapy -- quality assurance -- MRI‐linac -- dosimetry; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1002/mp.14764
• Languages: English
• ISSNs: 0094-2405

Abstract

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 1.5T 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 was to provide a foundation for QA protocols, comparative studies of system performance, and for future development of QA protocols and measurement methods.