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Development of Automated Delivery Quality Assurance Analysis Software for Helical Tomotherapy

Authors
 Y H Yoon  ;  Han-Back Shin  ;  M C Han  ;  Hojin Kim  ;  D W Kim  ;  Chae-Seon Hong  ;  Jihun Kim  ;  J S Kim 
Citation
 TECHNOLOGY IN CANCER RESEARCH & TREATMENT, Vol.22 : 15330338231175781, 2023-05 
Journal Title
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
ISSN
 1533-0346 
Issue Date
2023-05
MeSH
Algorithms ; Gamma Rays ; Humans ; Phantoms, Imaging ; Radiotherapy, Intensity-Modulated* ; Software
Keywords
automatione ; gamma analysis ; patient-specific quality assurance ; setup uncertainty ; tomotherapy
Abstract
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 < 90%).

Conclusions: The use of automated and standardized gamma analysis software can improve both the clinical efficiency and veracity of the analysis results. Furthermore, the gamma analyses with various film scaling factors and setup uncertainties will provide clinically useful information for further investigations.
Files in This Item:
T202302926.pdf Download
DOI
10.1177/15330338231175781
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Wook(김동욱) ORCID logo https://orcid.org/0000-0002-5819-9783
Kim, Jihun(김지훈) ORCID logo https://orcid.org/0000-0003-4856-6305
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
Kim, Hojin(김호진) ORCID logo https://orcid.org/0000-0002-4652-8682
Shin, Han-Back(신한백)
Han, Min Cheol(한민철)
Hong, Chae-Seon(홍채선) ORCID logo https://orcid.org/0000-0001-9120-6132
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/195315
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