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Research Article | Open Access

Mixed reality based respiratory liver tumor puncture navigation

Institute of Computer Science II, University of Bonn, 53115 Bonn, Germany.
Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China.

* Ruotong Li and Weixin Si contributed equally to this work.

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Abstract

This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Oursystem 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.

Keywords

mixed realityhuman computer interactionstatistical motion model

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Computational Visual Media
Volume 5 Issue 4,
December 2019
Pages 363-374
DOI: 10.1007/s41095-019-0156-x
Cite this article:
Li R, Si W, Liao X, et al. Mixed reality based respiratory liver tumor puncture navigation. Computational Visual Media, 2019, 5(4): 363-374. https://doi.org/10.1007/s41095-019-0156-x

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Revised: 14 December 2019
Accepted: 19 December 2019
Published: 17 January 2020
© The author(s 2019

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