Strip detector array (SDA) for beam monitoring in radiotherapy: reconstruction of MLC parameters from multiple projections of flux.
| Autor: | Hoegele W; Munich University of Applied Sciences HM, Department of Computer Science and Mathematics, Germany., Zygmanski P; Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, United States of America. |
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| Jazyk: | angličtina |
| Zdroj: | Biomedical physics & engineering express [Biomed Phys Eng Express] 2022 Jul 19; Vol. 8 (5). Date of Electronic Publication: 2022 Jul 19. |
| DOI: | 10.1088/2057-1976/ac7fbc |
| Abstrakt: | Objective. In this paper we propose and investigate a new detector with multiple strip detector arrays (SDA) for monitoring MLC shaped x-ray beams for radiotherapy treatment. Approach. Each SDA measures 1D dose profiles equivalent to dose projections. The goal of such a detector is to determine individual MLC leaf positions as well as the Monitor Units (MU) per MLC segment during radiotherapy. In the present work we investigate an optimal SDA detector configuration and reconstruction algorithm. We determine the accuracy of SDA for different treatment sites (spine, pelvis, retroperitoneum, prostate, brain SRT, SRS, lung and head and neck). We perform a simulation study accounting for different type of MLC leaf positional errors: random MLC leaf, systematic for the whole leaf bank and systematic for an individual leaf. In a similar fashion, we also account for errors in Monitor Units per segment. Main results. We demonstrate that for a broad range of IMRT treatment plans a robust reconstruction of errors is achievable with only 3 projections (3 sets of SDA oriented at at 0°, 45° and 135°). The SDA is capable of capturing both systematic errors in leaf banks and individual leaves as well as random errors sufficient for practical clinical purposes. Significance. These features of the SDA detector makes it suitable for real-time Quality Control of MLC collimated linac output. (© 2022 IOP Publishing Ltd.) |
| Databáze: | MEDLINE |
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