Deep-learning based reconstruction of the stomach from monoscopic video data

Ralf Hackner, Martin Raithel, Edgar Lehmann, Thomas Wittenberg
2020 Current Directions in Biomedical Engineering  
AbstractFor the gastroscopic examination of the stomach, the restricted field of view related to the "keyhole"-perspective of the endoscope is known to be a visual limitation. Thus, a panoramic extension can enlarge the field of vision, supports the endoscopist during the examination, and ensures that all of the inner stomach walls are visually inspected. To compute such a panorama of the stomach, knowledge about the geometry of the underlying structure is required. Structure from motion an
more » ... oach to reconstruct the necessary information about the 3D-structure from monocular image sequences as provided by a gastroscope. We examine and evaluate an existing deep neuronal network for stereo reconstruction, in order to approximate the geometry of stomach parts from a set of consecutive acquired image pairs from gastroscopic videos.
doi:10.1515/cdbme-2020-3012 fatcat:pvnr5vdxhngwvnruiawehkyhoa