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Related Experiment Video

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Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion.

Min Tan1, Yushun Tao1, Boyun Zheng2

  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; University of Chinese Academy of Sciences, Beijing, 101400, China.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|September 11, 2025
PubMed
Summary

We developed Structure-Content Integrated Diffusion Estimation (SCIDE) for accurate endoscopic depth estimation. This method significantly improves real-time performance in minimally invasive surgeries.

Keywords:
DiffusionEndoscopic depth estimationEndoscopic image processing

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Robotics

Background:

  • Endoscopic depth estimation is vital for surgical navigation and 3D reconstruction.
  • Current monocular depth estimation methods fail in challenging endoscopic conditions like poor lighting and low contrast.
  • Inaccurate depth predictions hinder real-time surgical applications.

Purpose of the Study:

  • To develop an accurate and fast endoscopic depth estimation method.
  • To address limitations of existing methods in complex surgical environments.
  • To enable real-time depth estimation for minimally invasive surgery.

Main Methods:

  • Proposed Structure-Content Integrated Diffusion Estimation (SCIDE) framework.
  • Introduced Structure Content Extractor (SC-Extractor) for endoscopic prior extraction.
  • Developed Fast Optimized Diffusion Sampler (FODS) for efficient diffusion model sampling.

Main Results:

  • SCIDE achieved a low RMSE of 0.0875.
  • FODS reduced inference time by 74.2%, enabling real-time application.
  • Demonstrated state-of-the-art accuracy in endoscopic depth estimation.

Conclusions:

  • SCIDE provides accurate and fast endoscopic depth estimation.
  • The SCIDE framework makes real-time applications feasible in endoscopic surgeries.
  • This advancement supports improved surgical navigation and robotic assistance.