Real-time Corneal Segmentation and 3D Needle Tracking in Intrasurgical OCT

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2018 Sep 28

PMID 30258685

Citations 15

Authors

Brenton Keller

Mark Draelos

Gao Tang

Sina Farsiu

Anthony N Kuo

Kris Hauser

Joseph A Izatt

Affiliations

Soon will be listed here.

Abstract

Ophthalmic procedures demand precise surgical instrument control in depth, yet standard operating microscopes supply limited depth perception. Current commercial microscope-integrated optical coherence tomography partially meets this need with manually-positioned cross-sectional images that offer qualitative estimates of depth. In this work, we present methods for automatic quantitative depth measurement using real-time, two-surface corneal segmentation and needle tracking in OCT volumes. We then demonstrate these methods for guidance of deep anterior lamellar keratoplasty (DALK) needle insertions. Surgeons using the output of these methods improved their ability to reach a target depth, and decreased their incidence of corneal perforations, both with statistical significance. We believe these methods could increase the success rate of DALK and thereby improve patient outcomes.

Citing Articles

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Data-Driven Modelling and Control for Robot Needle Insertion in Deep Anterior Lamellar Keratoplasty.

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Keller B, Draelos M, Zhou K, Qian R, Kuo A, Konidaris G IEEE Trans Robot. 2022; 36(4):1207-1218.

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