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A new solution for camera calibration and real-time image distortion correction in medical endoscopy-initial
Rui Melo1, João P Barreto, Gabriel Falcão
1Institute for Systems and Robotics, Faculty of Science and Technology, University of Coimbra, Coimbra, Portugal. rmelo@isr.uc.pt
IEEE Transactions on Bio-Medical Engineering
|December 1, 2011
Summary
This study introduces a real-time software system to fix radial distortion in medical endoscopy images. The system improves navigation and depth perception for clearer surgical guidance.
Area of Science:
- Medical Imaging
- Computer Vision
- Surgical Technology
Background:
- Medical endoscopy aids diagnosis and surgery but faces navigation challenges due to lens-induced radial distortion.
- This distortion impacts depth perception and object morphology, hindering precise procedures.
Purpose of the Study:
- To present a comprehensive software system for real-time calibration and radial distortion correction in clinical endoscopy.
- To enhance navigation accuracy and visual fidelity in endoscopic procedures.
Main Methods:
- An unsupervised, single-image checkerboard calibration method for initial setup.
- An adaptive projection model and image-based rotation inference for oblique-viewing endoscopes.
- A CPU+GPU hybrid solution for efficient, real-time processing of HD video.
Main Results:
- The system accurately calibrates and corrects radial distortion in real-time across various endoscopic devices.
- Demonstrated robustness and efficiency, even with high-definition video streams.
- Validated through technical evaluations of accuracy, modeling, and runtime performance.
Conclusions:
- The developed system offers a significant advancement for computer-aided surgery and image-guided interventions.
- Enables improved visualization, 3-D modeling, and simultaneous localization and mapping (SLAM) in endoscopic applications.
