Interactive 3D Cutaway Visualization for Subsurface Target Localization in Robot-Assisted Surgery
Overview
This research paper introduces Virtual Box, an interactive 3D cutaway visualization interface designed to improve subsurface target localization in robot-assisted surgery. In a controlled study involving 15 engineering students using a tissue phantom and da Vinci instruments, the system reduced mean 3D localization error by 61.6% and depth error by 78.2% compared to a blended augmented reality overlay. The authors conclude that Virtual Box enhances localization accuracy and spatial awareness, supporting further evaluation for surgical navigation applications.
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Reported quantity · completion time: 21.64 other · Basis not reported
“ings. Results: Virtual Box reduced mean 3D error from 12.92 to 4.96 mm (61.6% reduction) and depth error from 9.48 to 2.07 mm (78.2% reduction; both p < 0.001). Spatial understanding, depth perception, and confidence ratings were higher (all unadjusted p < 0.001), but completion time increased from 21.64 to 32.58 s (p = 0.008). Overall workload did not differ significantly. Conclusion: Virtual Box improved localizati”
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- arXiv Robotics — research abstractsSignalInteractive 3D Cutaway Visualization for Subsurface Target Localization in Robot-Assisted Surgery
This research paper introduces Virtual Box, an interactive 3D cutaway visualization interface designed to improve subsurface target localization in robot-assisted surgery. In a controlled study involving 15 engineering students using a tissue phantom and da Vinci instruments, the system reduced mean 3D localization error by 61.6% and depth error by 78.2% compared to a blended augmented reality overlay. The authors conclude that Virtual Box enhances localization accuracy and spatial awareness, supporting further evaluation for surgical navigation applications.
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