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Updated: Jun 27, 2025

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Single-Cell Resolution Three-Dimensional Imaging of Intact Organoids

Published on: June 5, 2020

Single-Image-Based 3D Reconstruction of Endoscopic Images.

Bilal Ahmad¹, Pål Anders Floor¹, Ivar Farup¹

¹Department of Computer Science, Norwegian University of Science & Technology, 2815 Gjøvik, Norway.

Journal of Imaging

|April 26, 2024

Summary

This summary is machine-generated.

This study introduces a single-image 3D reconstruction method for wireless capsule endoscopy (WCE) to improve gastrointestinal diagnostics. The shape from shading technique successfully reconstructs colon geometry from WCE images, aiding pathology detection.

Keywords:

3D reconstruction endoscopy image enhancement medical imaging

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Area of Science:

Medical Imaging
Computer Vision
Gastroenterology

Background:

Wireless capsule endoscopy (WCE) aids gastrointestinal examination but faces challenges in 3D reconstruction due to device limitations.
Accurate 3D models from WCE images can enhance pathology detection and visualization for gastroenterologists.

Purpose of the Study:

To develop and evaluate a single-image-based 3D reconstruction method for WCE.
To assess the accuracy and robustness of the 3D reconstruction technique on artificial colon models and WCE images.

Main Methods:

Employed a shape from shading (SFS) algorithm for single-image 3D reconstruction.
Utilized an endoscope simulating WCE to capture images of an artificial colon and primitive objects.
Performed comprehensive camera calibration and quantitative error analysis against ground truth data.

Main Results:

The SFS method accurately reconstructed the 3D geometry of primitive objects and an artificial colon.
The approach demonstrated robustness in reconstructing colon geometry from noisy images with an unknown imaging pipeline.
Preliminary results show the method's applicability for 3D reconstruction from WCE images.

Conclusions:

Single-image 3D reconstruction using SFS is a viable technique for WCE applications.
This method offers a promising solution for improving diagnostic capabilities in gastrointestinal examinations.
Further research can optimize the technique for clinical WCE data.