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dc.contributor.authorLee, Hyesung-
dc.contributor.authorYang, Sungwook-
dc.date.accessioned2026-02-19T07:00:14Z-
dc.date.available2026-02-19T07:00:14Z-
dc.date.created2026-02-19-
dc.date.issued2026-03-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/154327-
dc.description.abstractPrecise 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.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleReal-Time SLAM-Guided Closed-Loop Photodynamic Therapy With Pixel-Accurate Light-Dose Control-
dc.typeArticle-
dc.identifier.doi10.1109/LRA.2026.3656777-
dc.description.journalClass1-
dc.identifier.bibliographicCitationIEEE Robotics and Automation Letters, v.11, no.3, pp.3446 - 3453-
dc.citation.titleIEEE Robotics and Automation Letters-
dc.citation.volume11-
dc.citation.number3-
dc.citation.startPage3446-
dc.citation.endPage3453-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid001681003600002-
dc.identifier.scopusid2-s2.0-105028434753-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.relation.journalResearchAreaRobotics-
dc.type.docTypeArticle-
dc.subject.keywordPlusSENSOR FUSION-
dc.subject.keywordPlusENDOMICROSCOPY-
dc.subject.keywordAuthorCameras-
dc.subject.keywordAuthorProbes-
dc.subject.keywordAuthorLight emitting diodes-
dc.subject.keywordAuthorReal-time systems-
dc.subject.keywordAuthorOptical fiber sensors-
dc.subject.keywordAuthorOptical imaging-
dc.subject.keywordAuthorOptical fibers-
dc.subject.keywordAuthorMedical treatment-
dc.subject.keywordAuthorAccuracy-
dc.subject.keywordAuthorOptical filters-
dc.subject.keywordAuthorMedical robots and systems-
dc.subject.keywordAuthorSLAM-
dc.subject.keywordAuthorhardware-software integration in robotics-
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