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A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model

文献类型：期刊论文

作者Wang, Tengfei1,2; He, Tiancheng3; Zhang, Zhenglin2; Chen, Qi1; Zhang, Liwei1; Xia, Guoren1; Yang, Lizhuang1,2; Wang, Hongzhi1,2; Wong, Stephen T. C.3; Li, Hai1,2
刊名INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
出版日期2022-05-31
关键词Image-guided intervention system Patient-specific respiratory motion model Image registration Surgical path planning
ISSN号1861-6410
DOI10.1007/s11548-022-02676-2
通讯作者Wong, Stephen T. C.(stwong@houstonmethodist.org) ; Li, Hai(hli@cmpt.ac.cn)
英文摘要Purpose Due to respiratory motion, precise tracking of lung nodule movement is a persistent challenge for guiding percutaneous lung biopsy during image-guided intervention. We developed an automated image-guided system incorporating effective and robust tracking algorithms to address this challenge. Accurate lung motion prediction and personalized image-guided intervention are the key technological contributions of this work. Methods A patient-specific respiratory motion model is developed to predict pulmonary movements of individual patients. It is based on the relation between the artificial 4D CT and corresponding positions tracked by position sensors attached on the chest using an electromagnetic (EM) tracking system. The 4D CT image of the thorax during breathing is calculated through deformable registration of two 3D CT scans acquired at inspiratory and expiratory breath-hold. The robustness and accuracy of the image-guided intervention system were assessed on a static thorax phantom under different clinical parametric combinations. Results Real 4D CT images of ten patients were used to evaluate the accuracy of the respiratory motion model. The mean error of the model in different breathing phases was 1.59 +/- 0.66 mm. Using a static thorax phantom, we achieved an average targeting accuracy of 3.18 +/- 1.2 mm across 50 independent tests with different intervention parameters. The positive results demonstrate the robustness and accuracy of our system for personalized lung cancer intervention. Conclusions The proposed system integrates a patient-specific respiratory motion compensation model to reduce the effect of respiratory motion during percutaneous lung biopsy and help interventional radiologists target the lesion efficiently. Our preclinical studies indicate that the image-guided system has the ability to accurately predict and track lung nodules of individual patients and has the potential for use in the diagnosis and treatment of early stage lung cancer.
WOS关键词ELECTROMAGNETIC TRACKING DEVICE ; DEFORMABLE REGISTRATION ; COMPUTED-TOMOGRAPHY ; BIOPSY ; ACCURACY ; QUANTIFICATION ; FRAMEWORK
资助项目National Key R&D Program of China[2017YFB1300204] ; Hefei Foreign Cooperation Project[ZR201801020002] ; Natural Science Fund of Anhui Province[2008085MC69] ; Collaborative Innovation Program of Hefei Science Center[2020HSC-CIP001] ; CAS Anhui Province Key Laboratory of Medical Physics and Technology[LMPT201904] ; Director's Fund of Hefei Cancer Hospital of CAS[YZJJ2019C14] ; Director's Fund of Hefei Cancer Hospital of CAS[YZJJ2019A04] ; Texas CPRIT[RP110428] ; John S Dunn Research Foundation
WOS研究方向Engineering ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
语种英语
WOS记录号WOS:000803842200002
出版者SPRINGER HEIDELBERG
资助机构National Key R&D Program of China ; Hefei Foreign Cooperation Project ; Natural Science Fund of Anhui Province ; Collaborative Innovation Program of Hefei Science Center ; CAS Anhui Province Key Laboratory of Medical Physics and Technology ; Director's Fund of Hefei Cancer Hospital of CAS ; Texas CPRIT ; John S Dunn Research Foundation
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/131073]  
专题中国科学院合肥物质科学研究院
通讯作者Wong, Stephen T. C.; Li, Hai
作者单位1.Chinese Acad Sci, Hefei Canc Hosp, Hefei 230031, Peoples R China
2.Chinese Acad Sci, Inst Hlth & Med Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei 230031, Peoples R China
3.Houston Methodist Hosp, Houston Methodist Canc Ctr, Syst Med & Bioengn, Houston, TX 77030 USA
推荐引用方式
GB/T 7714		 Wang, Tengfei,He, Tiancheng,Zhang, Zhenglin,et al. A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2022.
APA Wang, Tengfei.,He, Tiancheng.,Zhang, Zhenglin.,Chen, Qi.,Zhang, Liwei.,...&Li, Hai.(2022).A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY.
MLA Wang, Tengfei,et al."A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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