토모테라피의 자동영상정합 분석Analysis of Automatic Rigid Image-Registration on Tomotherapy
- Other Titles
- Analysis of Automatic Rigid Image-Registration on Tomotherapy
- Authors
- 김영록; 조광환; 정재홍; 정주영; 임광채; 김용호; 문성권; 배선현; 민철기; 김은석; 여승구; 서태석; 최보영; 민정환; 안재억
- Issue Date
- 2014
- Publisher
- 대한방사선과학회
- Keywords
- Tomotherapy; Image guided radiation therapy; Megavoltage computed tomography; Image-registration; 토모테라피; 영상유도방사선치료; 고에너지 전산화단층촬영; 자동영상정합
- Citation
- 방사선기술과학, v.37, no.1, pp.37 - 47
- Journal Title
- 방사선기술과학
- Volume
- 37
- Number
- 1
- Start Page
- 37
- End Page
- 47
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/12975
- ISSN
- 2288-3509
- Abstract
- The purpose of this study was to analyze translational and rotational adjustments during automatic rigid image-registration by using different control parameters for a total of five groups on TomoTherapy (Accuray Inc, Sunnyvale, CA, USA). We selected a total of 50 patients and classified them in five groups (brain, head-and-neck, lung, abdomen and pelvic) and used a total of 500 megavoltage computed tomography (MVCT) image sets for the analysis. From this we calculated the overall mean value(M) for systematic and random errors after applying the different control parameters. After randomization of the patients into the five groups, we found that the overall mean value varied according to three techniques and resolutions. The deviation for the lung, abdomen and pelvic groups was approximately greater than the deviation for the brain and head-and-neck groups in all adjustments. Overall, using a “full-image” produces smaller deviations in the rotational adjustments. We found that rotational adjustment has deviations with distinctly different control parameters. We concluded that using a combination of the “full-image” technique and “standard” resolution will be helpful in assisting with patients’ repositioning and in correcting for set-up errors prior to radiotherapy on TomoTherapy.
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Collections - College of Medicine > Department of Radiation Oncology > 1. Journal Articles
- College of Medicine > Department of Radiation Oncology > 1. Journal Articles
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