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arXiv 2609.11330cs.CV

预测性多路标OCT跟踪以增强运动鲁棒性

Predictive Multi-Landmark OCT Tracking for Increased Motion Robustness

发表机构汉堡工业大学医学技术与智能系统研究所 · 汉堡-埃彭多夫大学医学中心耳鼻咽喉头颈外科与肿瘤科
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  • Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology(汉堡工业大学医学技术与智能系统研究所)
  • Department of Otorhinolaryngology, Head and Neck Surgery and Oncology, University Medical Center Hamburg-Eppendorf(汉堡-埃彭多夫大学医学中心耳鼻咽喉头颈外科与肿瘤科)

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Konrad Reuter, Suresh Guttikonda, Chaitali Uday Karekar, Christian Betz, Alexander Schlaefer

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中文总结 AI 辅助

提出一种预测性多路标OCT跟踪方法,通过路标间位置更新传播获得全局姿态预测,在高达100 mm/s速度和九个路标下RMSE低于1 mm,增强了运动鲁棒性。

中文摘要 AI 辅助

光学相干断层扫描因其高空间分辨率和固有的深度感知能力,是一种有前景的无标记运动跟踪模态。然而,现有的基于OCT的跟踪方法在可跟踪速度方面受到限制,特别是在顺序跟踪多个路标以进行6D姿态估计时。在这项工作中,我们提出了一种预测性跟踪方法,该方法在多个被跟踪的路标之间传播位置更新,以获得全局姿态预测。这使得在高速度下实现更鲁棒的跟踪成为可能。我们的结果表明,在速度高达100 mm/s且连续跟踪多达九个路标的情况下,均方根误差(RMSE)低于1 mm,凸显了全局运动传播与预测在提高基于OCT的跟踪鲁棒性方面的潜力。

英文摘要

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.

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