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Mixed reality based respiratory liver tumor puncture navigation
Computational Visual Media ( IF 17.3 ) Pub Date : 2020-01-17 , DOI: 10.1007/s41095-019-0156-x
Ruotong Li , Weixin Si , Xiangyun Liao , Qiong Wang , Reinhard Klein , Pheng-Ann Heng

This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system contains an optical see-through head-mounted display device (OST-HMD), Microsoft HoloLens for perfectly overlaying the virtual information on the patient, and a optical tracking system NDI Polaris for calibrating the surgical utilities in the surgical scene. Compared with traditional navigation method with CT, our system aligns the virtual guidance information and real patient and real-timely updates the view of virtual guidance via a position tracking system. In addition, to alleviate the difficulty during needle placement induced by respiratory motion, we reconstruct the patient-specific respiratory liver motion through statistical motion model to assist doctors precisely puncture liver tumors. The proposed system has been experimentally validated on vivo pigs with an accurate real-time registration approximately 5-mm mean FRE and TRE, which has the potential to be applied in clinical RFA guidance.

中文翻译:

基于混合现实的呼吸道肝肿瘤穿刺导航

本文提出了一种新颖的基于混合现实的导航系统,用于射频消融(RFA)中准确的呼吸道肝肿瘤穿刺。我们的系统包括一个光学透明的头戴式显示设备(OST-HMD),用于在患者身上完美叠加虚拟信息的Microsoft HoloLens,以及一个用于在手术现场校准手术用途的光学跟踪系统NDI Polaris。与传统的CT导航方法相比,我们的系统可以将虚拟指导信息与实际患者对齐,并通过位置跟踪系统实时更新虚拟指导的视图。另外,为减轻呼吸运动引起的置针困难,我们通过统计运动模型重建患者特定的呼吸性肝运动,以帮助医生精确地穿刺肝肿瘤。所提出的系统已经在体内猪上进行了实验验证,具有大约5毫米平均FRE和TRE的准确实时配准,有望在临床RFA指导中应用。
更新日期:2020-01-17
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