Share Email Print

Proceedings Paper

Neurosurgical burr hole placement using the Microsoft HoloLens
Author(s): Emily Rae; Andras Lasso; Matthew S. Holden; Evelyn Morin; Ron Levy; Gabor Fichtinger
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

PURPOSE: Tracked navigation systems are generally impractical in bedside neurosurgical procedures, such as a twist-drill crainiostomy for the removal of a subdural hematoma, where the use of navigation could optimize the placement of the drill in relation to the underlying fluid. We use the Microsoft HoloLens to display a hologram floating in the patient’s head to mark a burr hole on the skull. METHODS: A 3D model of the head, hematoma and burr hole is created from CT and imported to the HoloLens. The hologram is interactively registered to the patient and the burr hole is marked on the skull. 3D Slicer, Unity, and Visual Studio were used for software development. The system was tested by 6 inexperienced and 1 experienced users. They each performed 6 registrations on phantoms with fiducial markers placed at 3 plausible burr hole locations on each side of the head. Registration accuracy was determined by measuring the distance between the holographic and physical markers. RESULTS: Inexperienced users placed 98% of the markers within the clinically acceptable range of 10 mm in an average time of 4:46 min. The experienced user placed 100% of the markers within the acceptable range in an average time of 2:52 min. CONCLUSION: It is feasible to mark a neurosurgical burr hole location with clinically acceptable accuracy using the Microsoft HoloLens, within an acceptable length of time. This technology may also prove useful for procedures that require higher accuracy of drill location and drain trajectory such as the placement of external ventricular drains.

Paper Details

Date Published: 13 March 2018
PDF: 8 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760T (13 March 2018); doi: 10.1117/12.2293680
Show Author Affiliations
Emily Rae, Queen's Univ. (Canada)
Andras Lasso, Queen's Univ. (Canada)
Matthew S. Holden, Queen's Univ. (Canada)
Evelyn Morin, Queen's Univ. (Canada)
Ron Levy, Queen's Univ. (Canada)
Gabor Fichtinger, Queen's Univ. (Canada)

Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster III, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?