Interactive and Immersive Image-Guided Control of Interventional Manipulators with a Prototype Holographic Interface
Interactive and Immersive Image-Guided Control of Interventional Manipulators with a Prototype Holographic Interface
复制标题
具有原型全息界面的介入机械手的交互式和沉浸式图像引导控制
DOI:
10.1109/bibe.2019.00186
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Tsiamyrtzis, Panagiotis
中科院分区:
文献类型:
--
作者:
Morales Mojica, Cristina Marie;Tsekos, Nikolaos V.;Velazco-Garcia, Jose Daniel;Zhao, Haoran;Seimenis, Ioannis;Leiss, Ernst L.;Shah, Dipan;Webb, Andrew;Becker, Aaron T.;Tsiamyrtzis, Panagiotis
The emerging potential of augmented reality (AR) to improve 3D medical image visualization for diagnosis, by immersing the user into 3D morphology is further enhanced with the advent of wireless head-mounted displays (HMD). Such information-immersive capabilities may also enhance planning and visualization of interventional procedures. To this end, we introduce a computational platform to generate an augmented reality holographic scene that fuses pre-operative magnetic resonance imaging (MRI) sets, segmented anatomical structures, and an actuated model of an interventional robot for performing MRI-guided and robot-assisted interventions. The interface enables the operator to manipulate the presented images and rendered structures using voice and gestures, as well as to robot control. The software uses forbidden-region virtual fixtures that alerts the operator of collisions with vital structures. The platform was tested with a HoloLens HMD in silico. To address the limited computational power of the HMD, we deployed the platform on a desktop PC with two-way communication to the HMD. Operation studies demonstrated the functionality and underscored the importance of interface customization to fit a particular operator and/or procedure, as well as the need for on-site studies to assess its merit in the clinical realm.
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影响因子:
2.9
作者:
Xin Liu;Daniel Biediger;R. Kopru;E. Christoforou;N. Tsekos
通讯作者:
N. Tsekos
DOI:
10.1109/coase.2016.7743382
发表时间:
2016
期刊:
2016 IEEE International Conference on Automation Science and Engineering (CASE)
影响因子:
--
作者:
Li Huang;Xin Liu;N. Tsekos;Aaron T. Becker
通讯作者:
Aaron T. Becker
影响因子:
2.3
作者:
Kim KH
通讯作者:
Kim KH
影响因子:
1.8
作者:
Rincon-Nigro, Mario;Navkar, Nikhil V.;Deng, Zhigang
通讯作者:
Deng, Zhigang
影响因子:
3.6
作者:
Austin D. Chen;Samuel J. Lin
通讯作者:
Samuel J. Lin