Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions

Existing integrations of augmented reality (AR) into surgical navigation systems heavily depend on external tracking systems prone to occlusion and increased complexity of setting up the devices. These issues can compromise the accuracy and usability of AR navigation systems in a clinical operating...

Full description

Saved in:
Bibliographic Details
Main Authors: Nova Eka Diana, Deukhee Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10979305/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849313812902051840
author Nova Eka Diana
Deukhee Lee
author_facet Nova Eka Diana
Deukhee Lee
author_sort Nova Eka Diana
collection DOAJ
description Existing integrations of augmented reality (AR) into surgical navigation systems heavily depend on external tracking systems prone to occlusion and increased complexity of setting up the devices. These issues can compromise the accuracy and usability of AR navigation systems in a clinical operating room. Additionally, the impact of illumination exposure on AR system performance in a surgical room remains underexplored. Current methods for addressing the misalignment issue of AR contents in optical-see-through head-mounted displays (OST-HMDs) also lack sufficient precision, particularly for depth orientation. This study evaluated two inside-out tracking systems, the monocular tracker and stereo trackers, using the RGB and grayscale cameras of Microsoft HoloLens 2. Experimental assessments showed that the proposed stereo tracker achieved superior accuracy, with translational and rotational error of 0.73 mm and 0.15&#x00B0;, respectively, outperforming the proposed monocular tracker and existing reported literature. The proposed automated method to mitigate the impact of excessive light exposure can maintain a 98% marker detection rate across various lighting conditions and marker configurations. These results showed that the proposed techniques can eliminate the dependence on external trackers by providing robust performance in any surgical setting. A phantom study on AR-guided needle insertion further validated the efficacy of the proposed system, achieving an accuracy of <inline-formula> <tex-math notation="LaTeX">$1.65~\pm ~0.16$ </tex-math></inline-formula> mm and <inline-formula> <tex-math notation="LaTeX">$2.69~\pm ~0.19^{\circ }$ </tex-math></inline-formula>. These results meet the precision requirements for clinical surgeries, highlighting the potential of the proposed AR system to improve surgical outcomes.
format Article
id doaj-art-9ff6838d048844b4bfdbfc751ea3d596
institution Kabale University
issn 2169-3536
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-9ff6838d048844b4bfdbfc751ea3d5962025-08-20T03:52:38ZengIEEEIEEE Access2169-35362025-01-0113761987621610.1109/ACCESS.2025.356519810979305Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting ConditionsNova Eka Diana0https://orcid.org/0000-0002-3470-1628Deukhee Lee1https://orcid.org/0000-0001-7340-897XDivision of AI Robotics, KIST School, University of Science and Technology, Seoul, Republic of KoreaDivision of AI Robotics, KIST School, University of Science and Technology, Seoul, Republic of KoreaExisting integrations of augmented reality (AR) into surgical navigation systems heavily depend on external tracking systems prone to occlusion and increased complexity of setting up the devices. These issues can compromise the accuracy and usability of AR navigation systems in a clinical operating room. Additionally, the impact of illumination exposure on AR system performance in a surgical room remains underexplored. Current methods for addressing the misalignment issue of AR contents in optical-see-through head-mounted displays (OST-HMDs) also lack sufficient precision, particularly for depth orientation. This study evaluated two inside-out tracking systems, the monocular tracker and stereo trackers, using the RGB and grayscale cameras of Microsoft HoloLens 2. Experimental assessments showed that the proposed stereo tracker achieved superior accuracy, with translational and rotational error of 0.73 mm and 0.15&#x00B0;, respectively, outperforming the proposed monocular tracker and existing reported literature. The proposed automated method to mitigate the impact of excessive light exposure can maintain a 98% marker detection rate across various lighting conditions and marker configurations. These results showed that the proposed techniques can eliminate the dependence on external trackers by providing robust performance in any surgical setting. A phantom study on AR-guided needle insertion further validated the efficacy of the proposed system, achieving an accuracy of <inline-formula> <tex-math notation="LaTeX">$1.65~\pm ~0.16$ </tex-math></inline-formula> mm and <inline-formula> <tex-math notation="LaTeX">$2.69~\pm ~0.19^{\circ }$ </tex-math></inline-formula>. These results meet the precision requirements for clinical surgeries, highlighting the potential of the proposed AR system to improve surgical outcomes.https://ieeexplore.ieee.org/document/10979305/Augmented realitysurgical navigationautomatic exposure settinginside-out trackingdisplay calibration
spellingShingle Nova Eka Diana
Deukhee Lee
Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
IEEE Access
Augmented reality
surgical navigation
automatic exposure setting
inside-out tracking
display calibration
title Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
title_full Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
title_fullStr Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
title_full_unstemmed Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
title_short Toward Robust AR Surgical Navigation: Eliminating External Trackers and Ensuring OST-HMD Alignment Under Various Operating Room Lighting Conditions
title_sort toward robust ar surgical navigation eliminating external trackers and ensuring ost hmd alignment under various operating room lighting conditions
topic Augmented reality
surgical navigation
automatic exposure setting
inside-out tracking
display calibration
url https://ieeexplore.ieee.org/document/10979305/
work_keys_str_mv AT novaekadiana towardrobustarsurgicalnavigationeliminatingexternaltrackersandensuringosthmdalignmentundervariousoperatingroomlightingconditions
AT deukheelee towardrobustarsurgicalnavigationeliminatingexternaltrackersandensuringosthmdalignmentundervariousoperatingroomlightingconditions