BACKGROUND/AIMS: Augmented reality (AR) technology solves the problem of view switching in traditional image-guided neurosurgery systems by integrating computer-generated objects into the actual scene. However, the state-of-the-art AR solution using head-mounted displays has not been widely accepted in clinical applications because it causes some inconvenience for the surgeon during surgery. METHODS: In this paper, we present a Tablet-AR system that transmits navigation information to a movable tablet PC via a wireless local area network and overlays this information on the tablet screen, which simultaneously displays the actual scene captured by its back-facing camera. With this system, the surgeon can directly observe the intracranial anatomical structure of the patient with the overlaid virtual projection images to guide the surgery. RESULTS: The alignment errors in the skull specimen study and clinical experiment were 4.6 pixels (approx. 1.6 mm) and 6 pixels (approx. 2.1 mm), respectively. The system was also used for navigation in 2 actual clinical cases of neurosurgery, which demonstrated its feasibility in a clinical application. CONCLUSIONS: The easy-to-use Tablet-AR system presented in this study is accurate and feasible in clinical applications and has the potential to become a routine device in AR neuronavigation.
BACKGROUND/AIMS: Augmented reality (AR) technology solves the problem of view switching in traditional image-guided neurosurgery systems by integrating computer-generated objects into the actual scene. However, the state-of-the-art AR solution using head-mounted displays has not been widely accepted in clinical applications because it causes some inconvenience for the surgeon during surgery. METHODS: In this paper, we present a Tablet-AR system that transmits navigation information to a movable tablet PC via a wireless local area network and overlays this information on the tablet screen, which simultaneously displays the actual scene captured by its back-facing camera. With this system, the surgeon can directly observe the intracranial anatomical structure of the patient with the overlaid virtual projection images to guide the surgery. RESULTS: The alignment errors in the skull specimen study and clinical experiment were 4.6 pixels (approx. 1.6 mm) and 6 pixels (approx. 2.1 mm), respectively. The system was also used for navigation in 2 actual clinical cases of neurosurgery, which demonstrated its feasibility in a clinical application. CONCLUSIONS: The easy-to-use Tablet-AR system presented in this study is accurate and feasible in clinical applications and has the potential to become a routine device in AR neuronavigation.
Authors: H G Kenngott; M Wagner; F Nickel; A L Wekerle; A Preukschas; M Apitz; T Schulte; R Rempel; P Mietkowski; F Wagner; A Termer; Beat P Müller-Stich Journal: Langenbecks Arch Surg Date: 2015-02-21 Impact factor: 3.445
Authors: Lea Scherschinski; Ian T McNeill; Leslie Schlachter; William H Shuman; Holly Oemke; Kurt A Yaeger; Joshua B Bederson Journal: J Neurosurg Case Lessons Date: 2022-06-20
Authors: Hannes Götz Kenngott; Anas Amin Preukschas; Martin Wagner; Felix Nickel; Michael Müller; Nadine Bellemann; Christian Stock; Markus Fangerau; Boris Radeleff; Hans-Ulrich Kauczor; Hans-Peter Meinzer; Lena Maier-Hein; Beat Peter Müller-Stich Journal: Surg Endosc Date: 2018-03-30 Impact factor: 4.584