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A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction

: Hackner, R.; Walluscheck, S.; Lehmann, E.; Eixelberger, T.; Bruns, V.; Wittenberg, T.


Palm, Christoph (Hrsg.):
Bildverarbeitung für die Medizin 2021 : Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021
Wiesbaden: Springer Fachmedien, 2021 (Informatik aktuell)
ISBN: 978-3-658-33197-9 (Print)
ISBN: 978-3-658-33198-6 (Online)
ISBN: 3-658-33197-6
German Workshop on Medical Image Computing <2021, Regensburg>
Workshop Bildverarbeitung für die Medizin (BVM) <2021, Regensburg>
Fraunhofer IIS ()

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.