Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness

📅 2026-09-10
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
本文提出了一种预测性多标志点OCT跟踪方法,通过在多个跟踪标志点之间传播位置更新来提高高速运动下的跟踪鲁棒性。
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Optical Coherence Tomography
motion tracking
velocity limitation
multi-landmark tracking
6D pose estimation
Innovation

Methods, ideas, or system contributions that make the work stand out.

predictive tracking
multi-landmark OCT
global pose prediction
motion robustness
🔎 Similar Papers
No similar papers found.
Konrad Reuter
Konrad Reuter
Hamburg University of Technology
S
Suresh Guttikonda
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany
C
Chaitali Uday Karekar
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany
Christian Betz
Christian Betz
Professor HNO, UKE Hamburg
Head and Neck CancerRhinologyOpticsBiophotonics
A
Alexander Schlaefer
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany