On the suitability of Elekta's Agility 160 MLC for tracked radiation delivery: closed-loop machine performance. (12th February 2015)

• Record Type: Journal Article
• Authors: Glitzner, M; Crijns, S P M; de Senneville, B Denis; Lagendijk, J J W; Raaymakers, B W
• Is Part Of: Physics in medicine & biology. Volume 60:Number 5(2015:Mar.)
• Page Start: 2005
• Page End: 2017
• Publication Date: 2015-02-12
• Subjects: MLC -- tracking -- system response -- delay analysis -- band-limited -- linear-phase -- physiologic motion; Biophysics -- Periodicals; Medical physics -- Periodicals; 610.153
• DOI: 10.1088/0031-9155/60/5/2005
• Languages: English
• ISSNs: 0031-9155

Abstract

Abstract: For motion adaptive radiotherapy, dynamic multileaf collimator tracking can be employed to reduce treatment margins by steering the beam according to the organ motion. The Elekta Agility 160 MLC has hitherto not been evaluated for its tracking suitability. Both dosimetric performance and latency are key figures and need to be assessed generically, independent of the used motion sensor. In this paper, we propose the use of harmonic functions directly fed to the MLC to determine its latency during continuous motion. Furthermore, a control variable is extracted from a camera system and fed to the MLC. Using this setup, film dosimetry and subsequent γ statistics are performed, evaluating the response when tracking (MRI)-based physiologic motion in a closed-loop. The delay attributed to the MLC itself was shown to be a minor contributor to the overall feedback chain as compared to the impact of imaging components such as MRI sequences. Delay showed a linear phase behaviour of the MLC employed in continuously dynamic applications, which enables a general MLC-characterization. Using the exemplary feedback chain, dosimetry showed a vast increase in pass rate employing γ statistics. In this early stage, the tracking performance of the Agility using the test bench yielded promising results, making the technique eligible for translation to tracking using clinical imaging modalities.