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Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality.
Li, Ruotong; Tong, Yuqi; Yang, Tianpei; Guo, Jianxi; Si, Weixin; Zhang, Yanfang; Klein, Reinhard; Heng, Pheng-Ann.
Afiliación
  • Li R; Department of Computer Science II, University of Bonn, Germany.
  • Tong Y; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China.
  • Yang T; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China.
  • Guo J; Shenzhen People's Hospital, China.
  • Si W; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China. Electronic address: wx.si@siat.ac.cn.
  • Zhang Y; Shenzhen People's Hospital, China.
  • Klein R; Department of Computer Science II, University of Bonn, Germany.
  • Heng PA; Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong SAR, China.
Comput Med Imaging Graph ; 90: 101905, 2021 06.
Article en En | MEDLINE | ID: mdl-33848757
In recent years, the radiofrequency ablation (RFA) therapy has become a widely accepted minimal invasive treatment for liver tumor patients. However, it is challenging for doctors to precisely and efficiently perform the percutaneous tumor punctures under free-breathing conditions. This is because the traditional RFA is based on the 2D CT Image information, the missing spatial and dynamic information is dependent on surgeons' experience. This paper presents a novel quantitative and intuitive surgical navigation modality for percutaneous respiratory tumor puncture via augmented virtual reality, which is to achieve the augmented visualization of the pre-operative virtual planning information precisely being overlaid on intra-operative surgical scenario. In the pre-operation stage, we first combine the signed distance field of feasible structures (like liver and tumor) where the puncture path can go through and unfeasible structures (like large vessels and ribs) where the needle is not allowed to go through to quantitatively generate the 3D feasible region for percutaneous puncture. Then we design three constraints according to the RFA specialists consensus to automatically determine the optimal puncture trajectory. In the intra-operative stage, we first propose a virtual-real alignment method to precisely superimpose the virtual information on surgical scenario. Then, a user-friendly collaborative holographic interface is designed for real-time 3D respiratory tumor puncture navigation, which can effectively assist surgeons fast and accurately locating the target step-by step. The validation of our system is performed on static abdominal phantom and in vivo beagle dogs with artificial lesion. Experimental results demonstrate that the accuracy of the proposed planning strategy is better than the manual planning sketched by experienced doctors. Besides, the proposed holographic navigation modality can effectively reduce the needle adjustment for precise puncture as well. Our system shows its clinical feasibility to provide the quantitative planning of optimal needle path and intuitive in situ holographic navigation for percutaneous tumor ablation without surgeons' experience-dependence and reduce the times of needle adjustment. The proposed augmented virtual reality navigation system can effectively improve the precision and reliability in percutaneous tumor ablation and has the potential to be used for other surgical navigation tasks.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador / Realidad Virtual / Realidad Aumentada / Neoplasias Hepáticas Tipo de estudio: Guideline Límite: Animals / Humans Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador / Realidad Virtual / Realidad Aumentada / Neoplasias Hepáticas Tipo de estudio: Guideline Límite: Animals / Humans Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos