Probabilistic Principal Component Analysis and Particle Filtering for real-time retina detection from a single-fiber OCT

Eva Lankenau, Richard Neffin, Peter Koch, Hinnerk Schulz-Hildebrandt, G. Borghesan, M. Ourak, K. Willekens, P. Stalmans, D. Reynaerts, E. B. Vander Poorten

Abstract

Vitreo-retinal surgery concerns a set of particularly demanding micro-surgical interventions that take place at the back of the eye. Examples of such procedures are retinal vein cannulation (where the surgeon aims to insert a needle in a vein of the size of human hairs) and epiretinal membrane peeling (where a detached membrane must be removed from the retina). As severe retinal damage can be caused by undesired collisions, good instrument to retina distance perception would be very useful. We propose to use an OCT-fiber instrumented tool, and purposefully designed algorithms to interpret the measurements and extract a reliable real-time distance estimate. This abstract describes the progress that was made and includes a test conducted with a robotic platform on a synthetic eye mockup.
OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 01.09.2017
VeranstaltungWorkshop on New Technologies for Computer/Robot Assisted Surgery - Montpellier, Frankreich
Dauer: 14.09.201715.09.2017

Tagung, Konferenz, Kongress

Tagung, Konferenz, KongressWorkshop on New Technologies for Computer/Robot Assisted Surgery
KurztitelCRAS 2017
Land/GebietFrankreich
OrtMontpellier
Zeitraum14.09.1715.09.17

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Biomedizintechnik

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