Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors
Abstract Background To compare the accuracy, advantages and disadvantages of automatic registration methods at different anatomical-sites for thoracic image-guided radiation therapy (IGRT). Methods The Varian-IX IGRT system was used to perform a manual registration of the images collected on the fir...
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BMC
2019-05-01
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Series: | BMC Medical Imaging |
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Online Access: | http://link.springer.com/article/10.1186/s12880-019-0343-3 |
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author | Xiaohui Cao Ming Liu Fushan Zhai Nan Li Chaoen Bao Yinliang Liu Gang Chen |
author_facet | Xiaohui Cao Ming Liu Fushan Zhai Nan Li Chaoen Bao Yinliang Liu Gang Chen |
author_sort | Xiaohui Cao |
collection | DOAJ |
description | Abstract Background To compare the accuracy, advantages and disadvantages of automatic registration methods at different anatomical-sites for thoracic image-guided radiation therapy (IGRT). Methods The Varian-IX IGRT system was used to perform a manual registration of the images collected on the first fraction of 60 patients with lung cancer (42 cases central location and 18 cases of peripheral). The registered images were used as reference images. Offline registration was performed for computed tomography-CBCT images using four methods: whole image registration, ipsilateral registration, soft tissue tumor registration, and vertebral body registration. Time taken to complete and deviation value were analyzed between the different methods. Results There were significant differences in absolute deviation value of all the three directions (P < 0.001) and the time consumption (P < 0.001) between 4 methods. The Z direction had significant differences in deviation value of 4 methods (0.023 ± 0.128 mm, − 0.030 ± 0.175 mm, − 0.010 ± 0.238 mm, − 0.075 ± 0.137 mm, P = 0.011). The difference was significant in the X direction of the ipsilateral registration method between central and peripheral lung cancer (0.033 ± 0.053 mm vs. 0.067 ± 0.067 mm, P = 0.045). Conclusions The whole lung or affected side registration methods could be recommended to be used in the automatic registration function of the Varian-IX’s On-Board Imaging (OBI) system. |
first_indexed | 2024-12-19T10:08:24Z |
format | Article |
id | doaj.art-732a800b5a8647f78bb0b987c7203c2c |
institution | Directory Open Access Journal |
issn | 1471-2342 |
language | English |
last_indexed | 2024-12-19T10:08:24Z |
publishDate | 2019-05-01 |
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series | BMC Medical Imaging |
spelling | doaj.art-732a800b5a8647f78bb0b987c7203c2c2022-12-21T20:26:26ZengBMCBMC Medical Imaging1471-23422019-05-011911610.1186/s12880-019-0343-3Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumorsXiaohui Cao0Ming Liu1Fushan Zhai2Nan Li3Chaoen Bao4Yinliang Liu5Gang Chen6Department of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Radiotherapy and Oncology, The Third Hospital of Hebei Medical UniversityDepartment of Respiratory Medicine, The Third Hospital of Hebei Medical UniversityAbstract Background To compare the accuracy, advantages and disadvantages of automatic registration methods at different anatomical-sites for thoracic image-guided radiation therapy (IGRT). Methods The Varian-IX IGRT system was used to perform a manual registration of the images collected on the first fraction of 60 patients with lung cancer (42 cases central location and 18 cases of peripheral). The registered images were used as reference images. Offline registration was performed for computed tomography-CBCT images using four methods: whole image registration, ipsilateral registration, soft tissue tumor registration, and vertebral body registration. Time taken to complete and deviation value were analyzed between the different methods. Results There were significant differences in absolute deviation value of all the three directions (P < 0.001) and the time consumption (P < 0.001) between 4 methods. The Z direction had significant differences in deviation value of 4 methods (0.023 ± 0.128 mm, − 0.030 ± 0.175 mm, − 0.010 ± 0.238 mm, − 0.075 ± 0.137 mm, P = 0.011). The difference was significant in the X direction of the ipsilateral registration method between central and peripheral lung cancer (0.033 ± 0.053 mm vs. 0.067 ± 0.067 mm, P = 0.045). Conclusions The whole lung or affected side registration methods could be recommended to be used in the automatic registration function of the Varian-IX’s On-Board Imaging (OBI) system.http://link.springer.com/article/10.1186/s12880-019-0343-3Cone beam computed tomographyImage-guidedImage registrationLung cancer |
spellingShingle | Xiaohui Cao Ming Liu Fushan Zhai Nan Li Chaoen Bao Yinliang Liu Gang Chen Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors BMC Medical Imaging Cone beam computed tomography Image-guided Image registration Lung cancer |
title | Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors |
title_full | Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors |
title_fullStr | Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors |
title_full_unstemmed | Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors |
title_short | Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors |
title_sort | comparison of different registration methods and landmarks for image guided radiation therapy of pulmonary tumors |
topic | Cone beam computed tomography Image-guided Image registration Lung cancer |
url | http://link.springer.com/article/10.1186/s12880-019-0343-3 |
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