Development of Automated Delivery Quality Assurance Analysis Software for Helical Tomotherapy
| Autor: | YH Yoon BSc, Han-Back Shin PhD, MC Han PhD, Hojin Kim PhD, DW Kim PhD, Chae-Seon Hong PhD, Jihun Kim PhD, JS Kim PhD |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Technology in Cancer Research & Treatment, Vol 22 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1533-0338 15330338 |
| DOI: | 10.1177/15330338231175781 |
| Popis: | Background To develop a fully automated in-house gamma analysis software for the “Cheese” phantom-based delivery quality assurance (QA) of helical tomotherapy plans. Methods The developed in-house software was designed to automate several procedures, which need to be manually performed using commercial software packages. The region of interest for the analysis was automatically selected by cropping out film edges and thresholding dose values (>10% of the maximum dose). The film-measured dose was automatically aligned to the computed dose using an image registration algorithm. An optimal film scaling factor was determined to maximize the percentage of pixels passing gamma (gamma passing rate) between the measured and computed doses (3%/3 mm criteria). This gamma analysis was repeated by introducing setup uncertainties in the anterior–posterior direction. For 73 tomotherapy plans, the gamma analysis results using the developed software were compared to those analyzed by medical physicists using a commercial software package. Results The developed software successfully automated the gamma analysis for the tomotherapy delivery quality assurance. The gamma passing rate (GPR) calculated by the developed software was higher than that by the clinically used software by 3.0%, on average. While, for 1 of the 73 plans, the GPR by the manual gamma analysis was higher than 90% (pass/fail criteria), the gamma analysis using the developed software resulted in fail (GPR |
| Databáze: | Directory of Open Access Journals |
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