Real-Time SLAM-Guided Closed-Loop Photodynamic Therapy With Pixel-Accurate Light-Dose Control

Authors
Lee, HyesungYang, Sungwook
Issue Date
2026-03
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Robotics and Automation Letters, v.11, no.3, pp.3446 - 3453
Abstract
Precise light-dose delivery is essential for photodynamic therapy (PDT), yet current handheld systems remain operator-dependent and lose accuracy under motion. We present a SLAM-guided, closed-loop control framework that enables co-temporal and co-spatial photodynamic diagnosis (PDD) and PDT with a single handheld endomicroscopic probe, while enforcing pixel-level dose control. The probe integrates a fiber bundle that shares a common optical path for both PDD and PDT and is paired with a digital micromirror device (DMD) for mu m-scale pattern projection. An extended Kalman filter fuses optical-tracking measurements with texture-limited endomicroscopic images at 30 Hz, providing robust six-degree-of-freedom pose estimates that expand the probe's effective field of view and drive real-time pattern updates. A dose-map SLAM algorithm accumulates light dose over the reconstructed lesion surface during handheld scanning, while pixel-level dose control is enforced by referencing previously accumulated light at each location. Quantitative evaluation shows a spatial registration error between diagnostic and therapeutic systems within 5.2 mu m. Experiments on fluorescence phantoms achieved sub-millimeter localization accuracy (0.3mm RMSE), significantly outperforming vision-only and tracker-only baselines. Finally, tests on targets with quadrant-specific dose limits confirmed SLAM-based dose control, achieving dose uniformity within +/- 0.186mJ/cm(2) across millimeter-scale regions.
Keywords
SENSOR FUSION; ENDOMICROSCOPY; Cameras; Probes; Light emitting diodes; Real-time systems; Optical fiber sensors; Optical imaging; Optical fibers; Medical treatment; Accuracy; Optical filters; Medical robots and systems; SLAM; hardware-software integration in robotics
URI
https://pubs.kist.re.kr/handle/201004/154327
DOI
10.1109/LRA.2026.3656777
Appears in Collections:
KIST Article > 2026
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