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Fuzzy tissue detection for real-time focal control in corneal confocal microscopy = Fuzzy-Gewebeerkennung für Echtzeit-Fokusregelung in der Kornea-Konfokalmikroskopie

Bartschat, Andreas; Allgeier, Stephan; Scherr, Tim; Stegmaier, Johannes; Bohn, Sebastian; Reichert, Klaus-Martin; Kuijper, Arjan; Reischl, Markus; Stachs, Oliver; Köhler, Bernd; Mikut, Ralf

Abstract (englisch):
Corneal confocal laser scanning microscopy is a promising method for in vivo investigation of cellular structures, e. g., of nerve fibers in the sub-basal nerve plexus. During recording, even slight displacements of the focal plane lead to images of adjacent tissue layers. In this work, we propose a closed-loop control of the focal plane. To detect and evaluate the visible tissues, we utilize the Bag of Visual Words approach to implement a customizable image processing pipeline for real-time applications. Furthermore, we show that the proposed model can be trained with small classification datasets and can be applied as a segmentation method. The proposed control loop, including tissue detection, is implemented in a proof-of-concept setup and shows promising results in a first evaluation with a human subject.
Zusammenfassung



Originalveröffentlichung
DOI: 10.1515/auto-2019-0034
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 2196-677X, 0178-2312
KITopen-ID: 1000098893
HGF-Programm 47.01.02 (POF III, LK 01)
Erschienen in Automatisierungstechnik
Band 67
Heft 10
Seiten 879–888
Vorab online veröffentlicht am 27.09.2019
Schlagworte image classification; fuzzy segmentation; bag of visual words; microscope focal control; tissue detection
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