CVIVMay 30, 2019

3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion

arXiv:1905.12988v144 citations
Originality Incremental advance
AI Analysis

This addresses the need for precise 3D mapping of the entire stomach in medical diagnostics, though it appears incremental as it builds on existing structure-from-motion methods with specific enhancements.

This work tackled the problem of reconstructing the 3D shape of a whole stomach from a standard monocular endoscope video to help identify lesion locations like early gastric cancer, achieving this by using red channel images under chromo-endoscopy with indigo carmine dye.

Gastric endoscopy is a common clinical practice that enables medical doctors to diagnose the stomach inside a body. In order to identify a gastric lesion's location such as early gastric cancer within the stomach, this work addressed to reconstruct the 3D shape of a whole stomach with color texture information generated from a standard monocular endoscope video. Previous works have tried to reconstruct the 3D structures of various organs from endoscope images. However, they are mainly focused on a partial surface. In this work, we investigated how to enable structure-from-motion (SfM) to reconstruct the whole shape of a stomach from a standard endoscope video. We specifically investigated the combined effect of chromo-endoscopy and color channel selection on SfM. Our study found that 3D reconstruction of the whole stomach can be achieved by using red channel images captured under chromo-endoscopy by spreading indigo carmine (IC) dye on the stomach surface.

Foundations

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