Trachea Marking via 3D Model Orientation Adjustment
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Solution Overview
Problem
Existing methods for visualizing lung diseases rely on two-dimensional images, which can fail to accurately identify the trachea, essential for precise surgical operations like electromagnetic navigation bronchoscopy (ENB), leading to incomplete pathway planning and navigation.
Innovation Solution
A method involving the generation of a three-dimensional (3D) model from CT scan images, allowing clinicians to manually mark the main carina and trachea using a graphical user interface (GUI), adjusting the view plane from axial to coronal orientation to ensure accurate visualization and marking of the trachea.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional images are used for visualizing lung anatomy, then the visualization process is simple and fast, but the accuracy of identifying the trachea and main carina is insufficient
Solution Approach 1:
The patent transforms 2D CT scan images into a 3D model of lung anatomy, enabling clinicians to view and mark the trachea and main carina from multiple orientations (axial, coronal, sagittal). This dimensional transition provides spatial context and anatomical relationships that are not visible in 2D images, significantly improving identification accuracy while maintaining user-friendly interaction through graphical interfaces
2Reliability
If automatic detection methods are used to identify the trachea, then the process is fast and automated, but the detection accuracy fails when anatomical variations exist
Solution Approach 1:
The system provides self-service by offering both automatic detection and manual marking capabilities within the same platform. When automatic detection fails or produces inaccurate results, clinicians can directly interact with the 3D model to manually mark the trachea and main carina positions. The system supports this manual intervention without requiring separate tools or procedures, maintaining workflow continuity while improving reliability
Solution Approach 2:
The system incorporates feedback mechanisms where clinicians can review automatic detection results, correct errors by manual marking, and have these corrections feed back into the system. This feedback loop allows the system to learn from manual corrections and improve future automatic detection accuracy, balancing automation with reliable clinical oversight
Data Source
AI summary
Disclosed are systems, devices, and methods for marking a main carina and a trachea of a patient, an exemplary method comprising importing slice images of a chest of the patient, generating a three-dimensional (3D) model based on the imported slice images, displaying the 3D model in a graphical user interface (GUI), locating the main carina by viewing 2D images of the 3D model in an axial orientation, marking the main carina in one of the 2D images of the 3D model, adjusting a view plane of the 3D model around a rotation axis defined by the marked location of the main carina to adjust the view plane from an axial orientation to a coronal orientation while keeping the main carina in the view plane to thereby display the entire trachea on the GUI, and marking an upper end of the trachea in one of the 2D images of the 3D model.