Roboterassistierte ophthalmologische Chirurgie: Klinische Integration und Sicherheit durch multimodale Sensorik und Deep Learning

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Authors: Alireza Alikhani
Cited by: 0

Abstract

Robotic systems enhance precision in microsurgery, especially in retinal procedures, by improving accuracy, dexterity, and minimizing invasiveness. This thesis proposes solutions to clinical integration and safety challenges, including a catadioptric vision system for real-time tool tracking, automated RCM calibration, image-guided patient alignment, and an environmental monitoring system for real-time disturbance compensation.

Fields of Study & Subjects

Retinal and Macular Surgery Robot Manipulation and Learning Retinal Imaging and Analysis

Publication details

Journal / source
mediaTUM (Technical University of Munich)
Publication date
9 January 2026
Language
EN
Document type
Thesis