High-Fidelity Virtual Reality Clinical Training System
The project enhances medical training by developing an immersive VR system for central line dressing change. Using neural surface reconstruction, it creates high-fidelity digital twins of clinical environments, enabling realistic, repeatable practice. Designed in collaboration with healthcare professionals, the system ensures clinical accuracy while providing real-time feedback for safe, effective skill development.
Augmented Reality-Enhanced Surgical Microscopes for Spinal Procedures
This project introduces an augmented reality-enhanced surgical microscope system to improve precision and reduce radiation exposure during Minimally Invasive Transforaminal Lumbar Interbody Fusion (MIS TLIF). By overlaying preoperative 3D models onto the surgeon’s real-time view, it enhances visualization of critical areas like Kambin’s triangle, enabling safer navigation and more accurate instrument placement.
This project aims to perform "Pick and Place" task with "Universal Robot 5" by using "HoloLens 2" application to determine the pick and place position. The application leverages ROS2 packages and Unity for the HoloLens 2 platform.
This project aims to leverage all environmental cameras of the Microsoft HoloLens 2 to expand the user’s field of view and enhance object awareness by developing three advanced visualization techniques.
The 2024 IEEE International Symposium on Mixed and Augmented Reality
In this work, we explore how different visualization techniques for guiding attention toward objects outside a user's field of view impact responsiveness and cognitive workload in MR environments. We examine three visualization paradigms through a user study involving 24 participants. By analyzing Just Noticeable Differences (JNDs) and assessing mental load with the NASA Task Load Index, we aim to determine which technique best balances user perception and cognitive effort.
Wiley Health Technology Letters, 2024. Special Issue: MICCAI AE-CAI 2024
In this paper, we introduce StraightTrack, a mixed reality (MR) system developed to assist in orthopedic guiding wire placement and prevent K-wire bending in complex anatomical regions. The system incorporates a rigid access cannula with an integrated marker body to minimize bending caused by contact with soft tissue or bone. Leveraging an OST HMD with on-device optical tracking, StraightTrack provides real-time surgical guidance while addressing spatial navigation challenges and reducing entry point perception errors.
