Literature DB >> 31937502

Machine vision augmented reality for pedicle screw insertion during spine surgery.

Nhu Q Nguyen1, Stefano M Priola2, Joel M Ramjist1, Daipayan Guha2, Yuta Dobashi3, Kenneth Lee4, Michael Lu4, Dimitrios Androutsos5, Victor Yang6.   

Abstract

Implementing pedicle safe zones with augmented reality has the potential to improve operating room workflow during pedicle screw insertion. These safe zones will allow for image guidance when tracked instruments are unavailable. Using the correct screw trajectory as a reference angle for a successful screw insertion, we will determine the angles which lead to medial, lateral, superior and inferior breaches. These breaches serve as the boundaries of the safe zones. Measuring safe zones from the view of the surgical site and comparing to the radiological view will further understand the visual relationship between the radiological scans and the surgical site. Safe zones were measured on a spine phantom and were then replicated on patients. It was found that the largest causes for variance was between each of the camera views and the radiological views. The differences between the left and right cameras were insignificant. Overall, the camera angles appeared to be larger than the radiological angles. The magnification effect found in the surgical site result in an increased level of angle sensitivity for pedicle screw insertion techniques. By designing a virtual road map on top of the surgical site directly using tracked tools, the magnification effect is already taken into consideration during surgery. Future initiatives include the use of an augmented reality headset. Crown
Copyright © 2020. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Augmented reality; Infrared tool tracking; Neurosurgical navigation; Pedicle screw insertion

Year:  2020        PMID: 31937502     DOI: 10.1016/j.jocn.2019.12.067

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  2 in total

1.  First reported use of real-time intraoperative computed tomography angiography image registration using the Machine-vision Image Guided Surgery system: illustrative case.

Authors:  Harsh Wadhwa; Karen Malacon; Zachary A Medress; Christopher Leung; Matthew Sklar; Corinna C Zygourakis
Journal:  J Neurosurg Case Lessons       Date:  2021-05-03

Review 2.  Spine Surgery Assisted by Augmented Reality: Where Have We Been?

Authors:  Yanting Liu; Min-Gi Lee; Jin-Sung Kim
Journal:  Yonsei Med J       Date:  2022-04       Impact factor: 2.759

  2 in total

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