TY - JOUR
T1 - Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices
AU - Andrews, Christopher M.
AU - Henry, Alexander B.
AU - Soriano, Ignacio M.
AU - Southworth, Michael K.
AU - Silva, Jonathan R.
N1 - Funding Information:
This work was supported in part by the National Institutes of Health (NIH) Small Business Innovation Research (SBIR) under Grant R44 HL-140896, and in part by the Children’s Discovery Institute under Grant CH-II-2017-575. The work of Christopher M. Andrews was supported in part by the Cardiovascular Research Training from the National Institutes of Health under Grant CVTG and Grant T32 HL-007081, and in part by the Washington University Institute of Clinical and Translational Sciences from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) under Grant UL1TR002345.
Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning during clinical interventions. The most intriguing applications of 3D-AR involve visualizations of anatomy or surgical plans that appear directly on the patient. However, commercially available 3D-AR devices have spatial localization errors that are too large for many clinical procedures. For this reason, a variety of approaches for improving 3D-AR registration accuracy have been explored. The focus of this review is on the methods, accuracy, and clinical applications of registering 3D-AR devices with the clinical environment. The works cited represent a variety of approaches for registering holograms to patients, including manual registration, computer vision-based registration, and registrations that incorporate external tracking systems. Evaluations of user accuracy when performing clinically relevant tasks suggest that accuracies of approximately 2 mm are feasible. 3D-AR device limitations due to the vergence-accommodation conflict or other factors attributable to the headset hardware add on the order of 1.5 mm of error compared to conventional guidance. Continued improvements to 3D-AR hardware will decrease these sources of error.
AB - Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning during clinical interventions. The most intriguing applications of 3D-AR involve visualizations of anatomy or surgical plans that appear directly on the patient. However, commercially available 3D-AR devices have spatial localization errors that are too large for many clinical procedures. For this reason, a variety of approaches for improving 3D-AR registration accuracy have been explored. The focus of this review is on the methods, accuracy, and clinical applications of registering 3D-AR devices with the clinical environment. The works cited represent a variety of approaches for registering holograms to patients, including manual registration, computer vision-based registration, and registrations that incorporate external tracking systems. Evaluations of user accuracy when performing clinically relevant tasks suggest that accuracies of approximately 2 mm are feasible. 3D-AR device limitations due to the vergence-accommodation conflict or other factors attributable to the headset hardware add on the order of 1.5 mm of error compared to conventional guidance. Continued improvements to 3D-AR hardware will decrease these sources of error.
KW - Augmented reality (AR)
KW - HoloLens
KW - image registration
KW - medical imaging
KW - surgery
UR - http://www.scopus.com/inward/record.url?scp=85098765161&partnerID=8YFLogxK
U2 - 10.1109/JTEHM.2020.3045642
DO - 10.1109/JTEHM.2020.3045642
M3 - Article
C2 - 33489483
AN - SCOPUS:85098765161
SN - 2168-2372
VL - 9
JO - IEEE Journal of Translational Engineering in Health and Medicine
JF - IEEE Journal of Translational Engineering in Health and Medicine
M1 - 9296818
ER -