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Related Experiment Video

Updated: Jul 5, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Pose estimation via structure-depth information from monocular endoscopy images sequence.

Shiyuan Liu^1,2, Jingfan Fan^1,3, Liugeng Zang¹

¹Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

Biomedical Optics Express

|January 15, 2024

Summary

This summary is machine-generated.

This study introduces a novel method for accurate endoscopy pose estimation using structure-depth information from monocular endoscopy images. The technique enhances surgical visualization and precision in minimally invasive surgery (MIS).

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Area of Science:

Medical Imaging
Computer Vision
Surgical Robotics

Background:

Minimally invasive surgery (MIS) benefits from improved visualization and accuracy.
Accurate pose estimation of endoscopic cameras is crucial for enhanced surgical guidance.

Purpose of the Study:

To propose a novel method for endoscopy pose estimation using structure-depth information from monocular endoscopy image sequences.
To improve the accuracy and reliability of intraoperative endoscopy pose estimation for MIS.

Main Methods:

Constraining initial frame location using an image structure difference (ISD) network.
Estimating pose of sequence frames utilizing endoscopy image depth information.
Optimizing continuous frame pose estimation with adaptive boundary constraints.

Main Results:

Achieved pose estimation errors of 1.43 mm in bronchoscopy and 3.64 mm in colonoscopy datasets.
Demonstrated real-time performance meeting requirements for various surgical scenarios.
Validated reliable pose estimation for endoscopy images on public datasets.

Conclusions:

The proposed method provides accurate and reliable intraoperative endoscopy pose estimation.
This technique enhances localization of endoscopic images, supporting safer and more effective surgical procedures.
The method shows significant potential for clinical applications in MIS.