OCT tracking improves motion accuracy using predictive landmark updates
Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness
Computer Vision and Pattern Recognition
Summary
Tracking devices inside the body during movement is tricky because fast motion can confuse the tracking system. The authors found a way to predict where multiple landmarks will be during quick motion, making the system more reliable. Their approach keeps errors below 1 millimeter even when objects move fast and many landmarks are tracked one after another. This could help technologies that rely on precise tracking in 3D space work better under challenging conditions.
What this means in practice
- •For medical device developers: Improve surgical navigation systems by using predictive tracking to maintain accuracy during rapid instrument movements.$Commercial implications: Enables development of medical navigation devices that track instruments precisely at high speeds, enhancing surgery safety and outcomes.
- •For robotic system engineers: Enhance robot localization by integrating multi-landmark predictive tracking to reduce errors caused by fast motion.
Authors
Konrad Reuter, Suresh Guttikonda, Chaitali Uday Karekar, Christian Betz, Alexander Schlaefer
Abstract
Optical coherence tomography is a promising modality for markerless motion tracking due to its high spatial resolution and inherent depth perception. However, existing OCT-based tracking approaches are limited in terms of trackable velocity, particularly when multiple landmarks are tracked sequentially for 6D pose estimation. In this work, we present a predictive tracking approach that propagates positional updates between multiple tracked landmarks to obtain a global pose prediction. This enables more robust tracking under high velocities. Our results demonstrate RMSEs below 1 mm for velocities up to 100 mm/s and up to nine consecutively tracked landmarks, highlighting the potential of global motion propagation and prediction for improving the robustness of OCT-based tracking.