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Erschienen in:
2021 | OriginalPaper | Buchkapitel
A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction
verfasst von : Ralf Hackner, Sina Walluscheck, Edgar Lehmann, Thomas Eixelberger, Volker Bruns, Thomas Wittenberg
Erschienen in: Bildverarbeitung für die Medizin 2021
Verlag: Springer Fachmedien Wiesbaden
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For endoscopic examinations of the large intestine, the limited field of vision related to the keyhole view of the endoscope can be a problem. A panoramic view of the video images acquired during a colonoscopy can potentially enlarge the field of view in real-time and may ensure that the performing physician has examined the entire organ. To train and test such a panorama-generation system, endoscopic video sequences with information about the geometry are necessary, but rarely exist. Therefore, we created a virtual phantom of the colon with a 3D-modelling software and propose different methods for realistic-looking textures. This allows us to perform a “virtual colonoscopy” and provide a well-defined test environment as well as supplement our training data for deep learning.