3D Image-Guided Cannulation for Endoscopic Navigation Precision
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Solution Overview
Problem
Endoscopic systems face challenges in navigating to deep anatomical locations due to limited maneuverability and visualization capabilities, particularly in procedures like ERCP, where 2D images lack spatial details and patient anatomy variability complicates cannulation and navigation.
Innovation Solution
An endoscopic system that integrates multi-modality 3D image reconstruction and navigation guidance using a processor to combine and calibrate images from various sources, including 2D and 3D images, to generate a 3D image of the anatomical target, enhancing visualization and navigation precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If 2D endoscopic images or fluoroscopy images are used to guide cannulation, then the procedure can be performed with existing imaging capabilities, but the images lack spatial details such as shape, depth, and structural characteristics
Solution Approach 1:
The patent transforms 2D endoscopic images and fluoroscopy images into a registered 3D model of the patient's anatomy by combining multiple image sources (endoscopic images, fluoroscopy images, and preoperative CT/MRI scans) and reconstructing spatial relationships. This dimensional transition provides depth, shape, and structural information that was absent in the original 2D images, directly resolving the technical contradiction between information completeness and system complexity.
2Measurement precision
If multiple image sources are integrated to create 3D visualization, then anatomical visualization is enhanced, but the system complexity and image processing requirements increase
Solution Approach 1:
The patent merges multiple image sources including endoscopic images, fluoroscopy images, and preoperative CT/MRI scans into a single registered 3D model. By combining these diverse imaging modalities, the system achieves comprehensive anatomical visualization with enhanced precision while managing complexity through integrated processing architecture.
Solution Approach 2:
The patent employs image registration technology as an intermediary process that aligns and integrates multiple image sources into a coherent 3D representation. This registration mechanism serves as a mediator that harmonizes different imaging modalities and coordinate systems, enabling precise anatomical visualization without requiring direct complex interactions between all image sources.
3Manufacturing precision
If 2D images are used for cannulation guidance, then the equipment remains relatively simple, but inter-physician interpretation variations increase and navigation accuracy decreases
Solution Approach 1:
The patent implements a feedback mechanism where the registered 3D model is continuously updated with real-time endoscopic images and fluoroscopy images during the procedure. This feedback loop allows the system to adapt to anatomical variations and provide dynamic navigation guidance, significantly improving cannulation accuracy while the modular architecture manages system complexity.
Data Source
AI summary
Systems, devices, and methods for integrating images from various sources and using the same to guide endoscopic procedures are disclosed. An endoscopic system comprises an endoscope to be positioned and navigated in a patient anatomy, and a processor configured to reconstruct a three-dimensional (3D) image of an anatomical target based on at least two images of the anatomical target. The at least two images can be calibrated and registered using respective landmarks. One or more secondary images can be integrated with the reconstructed 3D image. The reconstructed image or the integrated image, along with the endoscope navigation plan, can be displayed to a user. Based on the reconstructed or the integrated image, the processor can generate an endoscope navigation plan for use in an image-guided endoscopic procedure.