A portable surgical navigation device to display resection planes for bone tumor surgery

Abstract Introduction: Surgical navigation has been used in musculoskeletal tumor surgical procedures to improve the precision of tumor resection. Despite the favorable attributes of navigation-assisted surgery, conventional systems do not display the resection margin in real time, and preoperative manual input is required. In addition, navigation systems are often expensive and complex, and this has limited their widespread use. In this study, we propose an augmented reality surgical navigation system that uses a tablet personal computer with no external tracking system. Material and methods: We realized a real-time safety margin display based on three-dimensional dilation. The resection plane induced by the safety margin is updated in real time according to the direction of sawing. The minimum separation between the saw and the resection plane is also calculated and displayed. The surgeon can resect bone tumors accurately by referring to the resection plane and the minimum separation updated in real time. Results: The effectiveness of the system was demonstrated with experiments on pig pelvises. When the desired resection margin was 10 mm, the measured resection margin was 9.85 ± 1.02 mm. Conclusions: The proposed method exhibits sufficient accuracy and convenience for use in bone tumor resection. It also has favorable practical applicability due to its low cost and portability.

[1]  Olivier Cornu,et al.  Pelvic reconstruction with a structural pelvic allograft after resection of a malignant bone tumor. , 2007, The Journal of bone and joint surgery. American volume.

[2]  Ron Kikinis,et al.  3D Slicer , 2012, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[3]  Makoto Hashizume,et al.  Dual Surgical Navigation Using Augmented and Virtual Environment Techniques , 2011 .

[4]  L. Ritacco,et al.  Accuracy of 3-D planning and navigation in bone tumor resection. , 2013, Orthopedics.

[5]  Luc Soler,et al.  An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases , 2009, Medical Image Anal..

[6]  David Jaffray,et al.  Navigated pelvic osteotomy and tumor resection: a study assessing the accuracy and reproducibility of resection planes in Sawbones and cadavers. , 2015, The Journal of bone and joint surgery. American volume.

[7]  Musa Citak,et al.  Computer aided tumor resection in the pelvis. , 2004, Injury.

[8]  Dominiek Reynaerts,et al.  Estimation of optimal pivot point for remote center of motion alignment in surgery , 2015, International Journal of Computer Assisted Radiology and Surgery.

[9]  Joel A. Hesch,et al.  A Direct Least-Squares (DLS) method for PnP , 2011, 2011 International Conference on Computer Vision.

[10]  J. Marescaux,et al.  Augmented reality in laparoscopic surgical oncology. , 2011, Surgical oncology.

[11]  Kwok Chuen Wong,et al.  Image Fusion for Computer-assisted Bone Tumor Surgery , 2008, Clinical orthopaedics and related research.

[12]  N. Navab,et al.  Advanced Medical Displays: A Literature Review of Augmented Reality , 2008, Journal of Display Technology.

[13]  Hirokazu Kato,et al.  Marker tracking and HMD calibration for a video-based augmented reality conferencing system , 1999, Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99).

[14]  Bruno Dehez,et al.  Surgical inaccuracy of tumor resection and reconstruction within the pelvis: An experimental study , 2008, Acta orthopaedica.

[15]  Francisco José Madrid-Cuevas,et al.  Automatic generation and detection of highly reliable fiducial markers under occlusion , 2014, Pattern Recognit..

[16]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  M. C. M. Wong,et al.  Computer assisted pelvic tumor resection and reconstruction with a custom-made prosthesis using an innovative adaptation and its validation , 2007, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[18]  Y. Lam,et al.  Computer-assisted Navigation in Bone Tumor Surgery: Seamless Workflow Model and Evolution of Technique , 2010, Clinical orthopaedics and related research.

[19]  H. Hoekstra,et al.  Image guided surgery: new technology for surgery of soft tissue and bone sarcomas. , 2007, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[20]  Han-Soo Kim,et al.  Joint‐preserving limb salvage surgery under navigation guidance , 2009, Journal of surgical oncology.

[21]  Ken Masamune,et al.  An effective visualization technique for depth perception in augmented reality‐based surgical navigation , 2016, The international journal of medical robotics + computer assisted surgery : MRCAS.

[22]  Ken Masamune,et al.  New simple image overlay system using a tablet PC for pinpoint identification of the appropriate site for anastomosis in peripheral arterial reconstruction , 2016, Surgery Today.

[23]  I. Han,et al.  The outcomes of navigation-assisted bone tumour surgery: minimum three-year follow-up. , 2012, The Journal of bone and joint surgery. British volume.