Mixed Reality Guided Radiofrequency Needle Placement: A Pilot Study
Open Access
- 4 June 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 6, 31493-31502
Abstract
This paper presents a novel mixed reality (MR) guidance method for liver tumours radiofrequency ablation (RFA). Compared with traditional CT-guided method, our system can provide a more natural and intuitive surgical mode for surgeons. In essence, our system is a holographic navigation platform, which projects a mixed-reality overlay onto the patient via HoloLens during RFA. We first reconstruct the patient-specific anatomy structure from the CT images of abdominal phantom. Then, a tailored precise registration method is employed to map the virtual-real spatial information. In addition, considering that tumor shifting during biopsy severely impacts the accuracy of RFA, our guidance system involves a motion compensation computation through data-driven physicallybased modeling in holographic environment. In experiments, we conduct a user study on the comparison trial between MR-guided and CT-guided biopsy. User feedback demonstrates that our MR guidance method for needle placement procedure has the potential to simplify the operation, reduce the operation difficulty, shorten the operation time and raise the operation precision.Keywords
Funding Information
- Shenzhen Science and Technology Program (JSGG20170414112714341, JCYJ20160429190300857)
- National Natural Science Foundation of China (U1613219, 81601576)
- Guangdong Province Science and Technology Plan Project (2016A020220013)
- Guangzhou Municipal Science and Technology Project (201704020141)
- China Postdoctoral Science Foundation (2017M622831)
This publication has 36 references indexed in Scilit:
- Systematic review and meta-analysis of survival and disease recurrence after radiofrequency ablation for hepatocellular carcinomaBritish Journal of Surgery, 2011
- Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulationMedical Image Analysis, 2009
- Preserving topology and elasticity for embedded deformable modelsACM Transactions on Graphics, 2009
- Composite finite elements for 3D image based computingComputing and Visualization in Science, 2008
- Physically Based Deformable Models in Computer GraphicsComputer Graphics Forum, 2006
- Total Lagrangian explicit dynamics finite element algorithm for computing soft tissue deformationCommunications in Numerical Methods in Engineering, 2006
- Composite Finite Elements for Elliptic Boundary Value Problems with Discontinuous CoefficientsComputing, 2005
- Shape modeling with point-sampled geometryACM Transactions on Graphics, 2003
- Real-time elastic deformations of soft tissues for surgery simulationIEEE Transactions on Visualization and Computer Graphics, 1999
- Real‐time Volumetric Deformable Models for Surgery Simulation using Finite Elements and CondensationComputer Graphics Forum, 1996