A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation

Abstract With the advent of augmented reality (AR), the use of AR‐guided systems in the field of medicine has gained traction. However, the wide‐scale adaptation of these systems requires highly accurate and reliable tracking. In this work, the tracking accuracy of two technology platforms, LiDAR an...

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Main Authors: Talha Khan, Jacob T. Biehl, Edward G. Andrews, Dmitriy Babichenko
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Healthcare Technology Letters
Online Access:https://doi.org/10.1049/htl2.12036
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author Talha Khan
Jacob T. Biehl
Edward G. Andrews
Dmitriy Babichenko
author_facet Talha Khan
Jacob T. Biehl
Edward G. Andrews
Dmitriy Babichenko
author_sort Talha Khan
collection DOAJ
description Abstract With the advent of augmented reality (AR), the use of AR‐guided systems in the field of medicine has gained traction. However, the wide‐scale adaptation of these systems requires highly accurate and reliable tracking. In this work, the tracking accuracy of two technology platforms, LiDAR and Vuforia, are developed and rigorously tested for a catheter placement neurological procedure. Several experiments (900) are performed for each technology across various combinations of catheter lengths and insertion trajectories. This analysis shows that the LiDAR platform outperformed Vuforia; which is the state‐of‐the‐art in monocular RGB tracking solutions. LiDAR had 75% less radial distance error and 26% less angle deviation error. Results provide key insights into the value and utility of LiDAR‐based tracking in AR guidance systems.
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spelling doaj.art-eaed254a09ac4132ab45e18aafd6beb62022-12-22T03:49:19ZengWileyHealthcare Technology Letters2053-37132022-12-01969110110.1049/htl2.12036A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigationTalha Khan0Jacob T. Biehl1Edward G. Andrews2Dmitriy Babichenko3School of Computing and Information University of Pittsburgh Pittsburgh PA USASchool of Computing and Information University of Pittsburgh Pittsburgh PA USADepartment of Neurological Surgery School of Medicine University of Pittsburgh Pittsburgh PA USASchool of Computing and Information University of Pittsburgh Pittsburgh PA USAAbstract With the advent of augmented reality (AR), the use of AR‐guided systems in the field of medicine has gained traction. However, the wide‐scale adaptation of these systems requires highly accurate and reliable tracking. In this work, the tracking accuracy of two technology platforms, LiDAR and Vuforia, are developed and rigorously tested for a catheter placement neurological procedure. Several experiments (900) are performed for each technology across various combinations of catheter lengths and insertion trajectories. This analysis shows that the LiDAR platform outperformed Vuforia; which is the state‐of‐the‐art in monocular RGB tracking solutions. LiDAR had 75% less radial distance error and 26% less angle deviation error. Results provide key insights into the value and utility of LiDAR‐based tracking in AR guidance systems.https://doi.org/10.1049/htl2.12036
spellingShingle Talha Khan
Jacob T. Biehl
Edward G. Andrews
Dmitriy Babichenko
A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
Healthcare Technology Letters
title A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
title_full A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
title_fullStr A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
title_full_unstemmed A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
title_short A systematic comparison of the accuracy of monocular RGB tracking and LiDAR for neuronavigation
title_sort systematic comparison of the accuracy of monocular rgb tracking and lidar for neuronavigation
url https://doi.org/10.1049/htl2.12036
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