| Fu Fenfang,Chen Jing,Deng Xianzhi,Chen Minghui,Li Nuoxi,Dong Fangfen,Zheng Fen,Yao Jianmin,Xu Benhua,Li Xiaobo.Development and application of the virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology[J].Chinese Journal of Radiological Medicine and Protection,2023,43(5):343-350 |
| Development and application of the virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology |
| Received:November 08, 2022 |
| DOI：10.3760/cma.j.cn112271-20221108-00437 |
| KeyWords:Virtual reality Augmented reality Cyberknife Bronchoscopy intelligent navigation Lung cancer |
| FundProject:福建省医学创新课题 (2020CXA026);福建省卫生健康科技计划项目(2022QNA027) |
| Author Name | Affiliation | E-mail | | Fu Fenfang | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Chen Jing | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Deng Xianzhi | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Chen Minghui | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Li Nuoxi | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Dong Fangfen | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Zheng Fen | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Yao Jianmin | College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China | | | Xu Benhua | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China | | | Li Xiaobo | School of Medical Imaging, Fujian Medical University, Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Medical University Cancer Center, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors, Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou 350001, China
Department of Engineering Physics, Tsinghua University, Beijing 100084, China | lixiaobo2004@126.com |
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| Abstract:: |
| Objective To investigate the necessity and feasibility of the virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology in the clinical application of radiotherapy. Methods This study developed a 3D virtual operation and interactive system using the Unity3D engine, tools including 3Dmax and Maya, and the SQL database. The scenes in the system were produced using the currently popular next-generation production process. Targeting the priorities and difficulties in the implantation of fiducial markers, the system developed in this study allowed for simulated demonstration and training based on 12 steps and 10 knowledge points. Internal tests and remote evaluation tests were adopted in this system to obtain the test result of each subject. Then, the application value of the system was analyzed based on the test result. Results As of May 1, 2022, the system had received 2 409 views and 425 test participants, with an test completion rate of 100% and an experiment pass rate of 96.5%. Moreover, this system won unanimous praise from 167 users, primarily including the students majoring in multilevel medical imaging technology and medical imaging science from the Fujian Medical University, as well as the radiotherapy-related staff of this university. Conclusions The virtual simulation teaching experiment software of the bronchoscopy intelligent navigation-based fiducial marker implantation technology can be applied to the teaching of students and the training of related professionals. |
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