Development of Optical Fiber Based Measurement System for the Verification of Entrance Dose Map in Pencil Beam Scanning Proton Beam
- Authors
- Son, Jaeman; Lee, Se Byeong; Lim, Youngkyung; Park, Sung Yong; Cho, Kwanho; Yoon, Myonggeun; Shin, Dongho
- Issue Date
- 1월-2018
- Publisher
- MDPI AG
- Keywords
- fiber-optic; beam monitoring system; pencil beam scanning; proton therapy
- Citation
- SENSORS, v.18, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 18
- Number
- 1
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/78058
- DOI
- 10.3390/s18010227
- ISSN
- 1424-8220
- Abstract
- This study describes the development of a beam monitoring system for the verification of entrance dose map in pencil beam scanning (PBS) proton therapy based on fiber optic radiation sensors (FORS) and the validation of this system through a feasibility study. The beam monitoring system consisted of 128 optical fibers optically coupled to photo-multiplier tubes. The performance of the beam monitoring system based on FORS was verified by comparing 2D dose maps of square-shaped fields of various sizes, which were obtained using conventional dosimeters such as MatriXX and EBT3 film, with those measured using FORS. The resulting full-width at half maximum and penumbra were compared for PBS proton beams, with a <= 2% difference between each value, indicating that measurements using the conventional dosimetric tool corresponded to measurements based on FORS. For irregularly-shaped fields, a comparison based on the gamma index between 2D dose maps obtained using MatriXX and EBT3 film and the 2D dose map measured by the FORS showed passing rates of 96.9 +/- 1.3% and 96.2 +/- 1.9%, respectively, confirming that FORS-based measurements for PBS proton therapy agreed well with those measured using the conventional dosimetric tools. These results demonstrate that the developed beam monitoring system based on FORS is good candidate for monitoring the entrance dose map in PBS proton therapy.
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Collections - College of Health Sciences > School of Biomedical Engineering > 1. Journal Articles
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