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Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images.

Aji Resindra Widya1, Yusuke Monno1, Masatoshi Okutomi1

  • 1Department of Systems and Control EngineeringSchool of EngineeringTokyo Institute of TechnologyTokyo152-8550Japan.

IEEE Journal of Translational Engineering in Health and Medicine
|April 2, 2021
PubMed
Summary

This study introduces a novel method for 3D stomach reconstruction using standard endoscopy images, eliminating the need for indigo carmine dye. This technique enhances lesion localization and clinical decision-making in gastric procedures.

Keywords:
3D reconstructionEndoscopygenerative adversarial networkstomachstructure-from-motion

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Gastroenterology

Background:

  • Gastric endoscopy is crucial for diagnosing stomach lesions.
  • Accurate lesion localization aids clinical treatment decisions.
  • Previous methods required indigo carmine (IC) dye, adding time to procedures.

Purpose of the Study:

  • To develop a 3D stomach reconstruction method without IC dye.
  • To enable accurate lesion localization using standard endoscopy.
  • To improve clinical decision-making for gastric conditions.

Main Methods:

  • Generated virtual IC-sprayed (VIC) images via image-to-image translation.
  • Trained models on unpaired real no-IC and IC-sprayed images.
  • Investigated color channel effects for VIC image generation.
  • Employed structure-from-motion (SfM) for 3D reconstruction.
  • Proposed local reconstruction for detailed lesion surfaces.

Main Results:

  • Achieved comparable 3D stomach structures to methods using real IC dye.
  • Identified that translating no-IC green-channel to IC-sprayed red-channel images yielded optimal SfM results.
  • Demonstrated successful whole stomach reconstruction without IC dye.
  • Enabled detailed local reconstruction of gastric lesions.

Conclusions:

  • The proposed method allows for 3D reconstruction of the stomach without IC dye.
  • This approach facilitates frame localization and local 3D reconstruction of gastric lesions.
  • The technique offers a more efficient and clinically valuable tool for gastric endoscopy.