Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality

  • Original Paper
  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

Hypertensive intracerebral hemorrhage (HICH) is an intracerebral bleeding disease that affects 2.5 per 10,000 people worldwide each year. An effective way to cure this disease is puncture through the dura with a brain puncture drill and tube; the accuracy of the insertion determines the quality of the surgery. In recent decades, surgical navigation systems have been widely used to improve the accuracy of surgery and minimize risks. Augmented reality– and mixed reality–based surgical navigation is a promising new technology for surgical navigation in the clinic, aiming to improve the safety and accuracy of the operation. In this study, we present a novel multimodel mixed reality navigation system for HICH surgery in which medical images and virtual anatomical structures can be aligned intraoperatively with the actual structures of the patient in a head-mounted device and adjusted when the patient moves in real time while under local anesthesia; this approach can help the surgeon intuitively perform intraoperative navigation. A novel registration method is used to register the holographic space and serves as an intraoperative optical tracker, and a method for calibrating the HICH surgical tools is used to track the tools in real time. The results of phantom experiments revealed a mean registration error of 1.03 mm and an average time consumption of 12.9 min. In clinical usage, the registration error was 1.94 mm, and the time consumption was 14.2 min, showing that this system is sufficiently accurate and effective for clinical application.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Asberg S, Farahmand B, Henriksson KM et al.: Statins as secondary preventives in patients with intracerebral hemorrhage. International journal of stoke 15(1):61-68,2020

    Google Scholar 

  2. Schlunk F, Chang YC, Ayres A et al.: Blood pressure burden and outcome in warfarin-related intracerebral hemorrhage. International Journal of Stroke 11(8):898-909,2016

    Article  PubMed  Google Scholar 

  3. JF Zhang, JS Chen, JB Chen.: Influence of surgery with the guideline of minimally invasive concept in prognosis of patients with hypertensive basal ganglia hematomas: a report of 57 cases. Chin J Neuromed 11(4):401–404, 2012

  4. WJ Wang, H Yang.: Clinical analysis on 85 cases of hypertensivecerebral hemorrhage with minimally invasive soft channel technology. Chin Med Pharm 4:31–33,2014

  5. M Ramanan, A Shankar.: Minimally invasive surgery for primary supratentorial intracerebral haemorrhage. J Clin Neurosci 20(12):1650–1658, 2013

  6. Muschelli J, Ullman NL, Sweeney EM: Quantitative Intracerebral Hemorrhage Localization. Stroke 46(11):3270-3280,2015

    Article  PubMed  PubMed Central  Google Scholar 

  7. Chen XJ, Xu L, Wang YP et al.: Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display. Journal of Biomedical Informatics 55:124-131,2015

    Article  PubMed  Google Scholar 

  8. Teatini Andrea, Kumar Rahul P, Elle Ole et al.: Mixed reality as a novel tool for diagnostic and surgical navigation in orthopaedics. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 16(3):407–414,2021

  9. Fida Benish, Cutolo Fabrizio, Di Franco et al.: Augmented reality in open surgery. UPDATES IN SURGERY 70(3):389-400,2018.

    Article  Google Scholar 

  10. Sakai Daisuke, Joyce Kieran, Sugimoto Maki et al.: Augmented, virtual and mixed reality in spinal surgery: A real-world experience. JOURNAL OF ORTHOPAEDIC SURGERY 28(3),2021

  11. CM Andrews, AB Henry, IM Soriano et al.: Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices. IEEE Journal of Translational Engineering in Health and Medicine 9: pp. 1-14,2021

    Article  Google Scholar 

  12. Emily Rae, Andras Lasso, Matthew S Holden et al.: Neurosurgical burr hole placement using the microsoft hololens. Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling 10576:105760T,2018

    Google Scholar 

  13. Timur Kuzhagaliyev, Neil T Clancy, Mirek Janatka et al.: Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas. In Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling 10576:1057613,2018

    Google Scholar 

  14. Taylor Frantz, Bart Jansen, Johnny Duerinck et al.: Augmenting Microsoft’s hololens with vuforia tracking for neuronavigation. Healthcare technology Letters 5(5):221–225,2018

    Article  PubMed  PubMed Central  Google Scholar 

  15. Houssam El-Hariri, Prashant Pandey, Antony J Hodgson et al.: Augmented reality visualisation for orthopaedic surgical guidance with pre-and intra-operative multimodal image data fusion. Healthcare Technology Letters 5(5) :189–193,2018

  16. Javed A, Kim YC, Khoo MCK et al.: Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region Growing Segmentation. IEEE Transactions on biomedical engineering 63(2):431-437,2016

    Article  PubMed  Google Scholar 

  17. Yang JX, Adu J Chen, HG, Zhang et al.: A Facial Expression Recongnition Method Based On Dlib, RI-LBP and ResNet. 3rd International Conference on Computer Information Science and Application Technology (CISAT),2020

  18. Yang XF, Ye YM, Li XT et al.: Hyperspectral Image Classification with Deep Learning Models. IEEE Transactions on Geoscience and Remote Sensing 56(9):5408-5423,2018

    Article  Google Scholar 

  19. Park JH, Park HW.: Fast view interpolation of stereo images using image gradient and disparity triangulation. Signal Processing-Image Communication 18(5):401-416,2003

    Article  Google Scholar 

  20. Hersch M,Billard A,Bergmann,S.:Iterative Estimation of Rigid-Body Transformations Application to Robust Object Tracking and Iterative Closest Point. JOURNAL OF MATHEMATICAL IMAGING AND VISION 43(1):1-9,2012

    Article  Google Scholar 

  21. Ying SH, Peng JG, Du SY et al.: A Scale Stretch Method based on ICP for 3D data Registration. IEEE Transactions on automation science and engineering 6(3):559-565,2009

    Article  Google Scholar 

  22. Mongen MA, Willems PWA.: Current accuracy of surface matching compared to adhesive markers in patient-to-image registration. Acta Neurochir 161(5):865–870, 2019

  23. Sangkyun Shin, Hyunchul Cho, Siyeop Yoon et al.: Markerless surgical robotic system for intracerebral hemorrhage surgery. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) pp5272–5275,2015

  24. Tao Wang, Quan-Jun Zhao, Jian-Wen Gu, et al.: Neurosurgery medical robot Remobot for the treatment of 17 patients with hypertensive intracerebral hemorrhage. The international journal of medical robotics and computer assisted surgery 15:e2024,2019

  25. Xiaoyao Fan, David W Roberts, Songbai Ji, et al.: Intraoperative fiducial-less patient registration using volumetric 3D ultrasound: a prospective series of 32 neurosurgical cases. J Neurosurg 123:721–731,2015

  26. Li K, Ding XQ, Wang QB, et al.: Low-Cost, Accurate, Effective Treatment of Hypertensive Cerebral Hemorrhage With Three-Dimensional Printing Technology. Frontiers in neurology 12:608403,2021

  27. Yuqian Li, Hongyu Cheng, Zhenzhu Li, et al: Clinical Value of 3D-Printed Navigation Technology Combined with Neuroendoscopy for Intracerebral Hemorrhage. Translational Stroke Research 12:1035-1044, 2021.

    Article  PubMed  Google Scholar 

  28. van Doormaal TPC, van Doormaal JAM, Mensink T.: Clinical accuracy of holographic navigation using point-based registration on augmented-reality glasses. Oper Neurosurg 17(6):588-593, 2019

    Article  Google Scholar 

  29. Soares I, Sousa RB, Petry M, et al.: Accuracy and repeatability test on Hololens 2 and HTC Vive. Multimodal Technol Interact 5(8):47,2021

    Article  Google Scholar 

  30. Casena C, Carlone L, Carrillo H et al.: Presnet, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Transactions on Robotics 32(6):1309-1332,2016

    Article  Google Scholar 

  31. Lin CC, Tai YC, Lee JJ et al.: A novel point cloud registration using 2D image features. Eurasip Journal on Advances in Signal Processing 5, 2017

Download references

Funding

This work was supported by the National Natural Science Foundation of China (No. 81871457), the Scientific and Technology Project of Jinnan District, Tianjin, China (No. 20200110), and the Innovation Foundation for Postgraduate of Tianjin (Grant No.2021YJSB104).

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China

    Zeyang Zhou, Zhiyong Yang, Shan Jiang, Tao Zhu & Shixing Ma

  2. Department of Neurosurgery, Huanhu Hospital, Tianjin, 300350, China

    Jie Zhuo

Authors
  1. Zeyang Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiyong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shan Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jie Zhuo
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tao Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shixing Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Shan Jiang or Jie Zhuo.

Ethics declarations

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approval was provided by Ethics Committee of Tianjin Huanhu Hospital (Approval No, JHEC-2021–071).

Informed Consent

Informed consent was obtained from all individual participants included in this study.

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, Z., Yang, Z., Jiang, S. et al. Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality. J Digit Imaging 35, 1530–1543 (2022). https://doi.org/10.1007/s10278-022-00676-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-022-00676-x

Keywords

Search

Navigation