A visual tracking-based algorithm for real-time probe localization and 3D reconstruction in optical coherence tomography

Rui Ma; Yu Chen; Xian Du

doi:10.1117/12.3037324

20 November 2024 A visual tracking-based algorithm for real-time probe localization and 3D reconstruction in optical coherence tomography

Rui Ma, Yu Chen, Xian Du

Author Affiliations +

Proceedings Volume 13242, Optics in Health Care and Biomedical Optics XIV; 132420E (2024) https://doi.org/10.1117/12.3037324
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Abstract

Optical coherence tomography (OCT) represents an advanced, real-time, and non-invasive imaging modality that has found widespread application in both biomedical diagnostics and materials inspection. Despite its versatility, the absence of global positional feedback for the OCT probe constrains the system’s ability to conduct large-area scans, thereby limiting its applicability across a wider range of contexts. In this work, we introduce a novel visual tracking algorithm designed for real-time localization of the OCT probe. By integrating spatial position data with captured OCT images, this approach facilitates the potential for three-dimensional (3D) image reconstruction. The proposed method employs an AprilTag-based tracking framework, selected for its robustness in dynamic environments. Fiducial markers (AprilTags) are utilized to enhance the accuracy and reliability of probe localization across six degrees of freedom (6-DOF). Using a high-precision motion stage, we evaluated positional errors in both two-dimensional (2D) and three-dimensional (3D) scanning scenarios. The results demonstrate that our system achieves localization accuracy with an average position error as low as 2.44 × 10⁻⁵ m at the processing speed 83 frames per second. Compared to existing OCT localization techniques, our method offers a precise, cost-effective, and portable solution for large-area probe localization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Ma, Yu Chen, and Xian Du "A visual tracking-based algorithm for real-time probe localization and 3D reconstruction in optical coherence tomography", Proc. SPIE 13242, Optics in Health Care and Biomedical Optics XIV, 132420E (20 November 2024); https://doi.org/10.1117/12.3037324

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KEYWORDS

Optical coherence tomography

Cameras

Detection and tracking algorithms

3D tracking

Visualization

Biomedical optics

Reconstruction algorithms

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