Maneas, E;
Sato dos Santos, G;
Deprest, J;
Wimalasundera, R;
David, AL;
Vercauteren, T;
Ourselin, S;
(2015)
Adaptive Filtering of Fibre-optic Fetoscopic Images for Fetal Surgery.
In: Yang, Guang-Zhong and Darzi, Ara, (eds.)
The Hamlyn Symposium on Medical Robotics.
(pp. pp. 53-54).
Imperial College London: London, UK.
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Abstract
Intrauterine interventions currently rely on the use of a fetoscope as the main intraoperative imaging modality. Fetal surgery could benefit from computational processing of fetoscopic images, such as image mosaicking. However, images from fibre-optic fetoscopes contain a “honeycomb” pattern due the camera oversampling the irregular fibre bundle image guide. This honeycomb pattern distracts the clinician and will adversely affect any subsequent image computing algorithm; thus, a crucial first step in the image-processing pipeline is the removal of the honeycomb pattern.
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