ArticleIEEE journal of translational engineering in health and medicine2019
Whole Stomach 3D Reconstruction and Frame Localization From Monocular Endoscope Video.
Article in IEEE journal of translational engineering in health and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 63 citations in OpenAlex.
- Endo-PairGS: pair priors for dynamic endoscopic scene reconstruction.International journal of computer assisted radiology and surgery · 2026Article
- A robust and effective framework for 3D scene reconstruction and high-quality rendering in nasal endoscopy surgery.Frontiers in neurorobotics · 2025Article
- Surface Reconstruction of the Pediatric Larynx via Structure from Motion Photogrammetry: A Pilot Study.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2024Article
- A Monocular Variable Magnifications 3D Laparoscope System Using Double Liquid Lenses.IEEE journal of translational engineering in health and medicine · 2024Article
- Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization.Sensors (Basel, Switzerland) · 2023Review
- Adaptive feature extraction method for capsule endoscopy images.Visual computing for industry, biomedicine, and art · 2023Article
- Stomach Geometry Reconstruction Using Serosal Transmitting Coils and Magnetic Source Localization.IEEE transactions on bio-medical engineering · 2023Article
- Real-Time Dense Reconstruction with Binocular Endoscopy Based on StereoNet and ORB-SLAM.Sensors (Basel, Switzerland) · 2023Article
- Artificial Intelligence for Upper Gastrointestinal Endoscopy: A Roadmap from Technology Development to Clinical Practice.Diagnostics (Basel, Switzerland) · 2022Review
- Joint estimation of depth and motion from a monocular endoscopy image sequence using a multi-loss rebalancing network.Biomedical optics express · 2022Article
- Deep learning for gastroscopic images: computer-aided techniques for clinicians.Biomedical engineering online · 2022Review
- Pre-Clinical Development of Robot-Assisted Ventriculoscopy for 3D Image Reconstruction and Guidance of Deep Brain Neurosurgery.IEEE transactions on medical robotics and bionics · 2022Article
- Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images.IEEE journal of translational engineering in health and medicine · 2021Article
- Cost-Efficient Video Synthesis and Evaluation for Development of Virtual 3D Endoscopy.IEEE journal of translational engineering in health and medicine · 2021Article
- A novel no-sensors 3D model reconstruction from monocular video frames for a dynamic environment.PeerJ. Computer science · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric endoscopy is a common clinical practice that enables medical doctors to diagnose various lesions inside a stomach. In order to identify the location of a gastric lesion such as early cancer and a peptic ulcer within the stomach, this work addresses to reconstruct the color-textured 3D model of a whole stomach from a standard monocular endoscope video and localize any selected video frame to the 3D model. We examine how to enable structure-from-motion (SfM) to reconstruct the whole shape of a stomach from endoscope images, which is a challenging task due to the texture-less nature of the stomach surface. We specifically investigate the combined effect of chromo-endoscopy and color channel selection on SfM to increase the number of feature points. We also design a plane fitting-based algorithm for 3D point outliers removal to improve the 3D model quality. We show that whole stomach 3D reconstruction can be achieved (more than 90% of the frames can be reconstructed) by using red channel images captured under chromo-endoscopy by spreading indigo carmine (IC) dye on the stomach surface. In experimental results, we demonstrate the reconstructed 3D models for seven subjects and the application of lesion localization and reconstruction. The methodology and results presented in this paper could offer some valuable reference to other researchers and also could be an excellent tool for gastric surgeons in various computer-aided diagnosis applications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.