Bronchial Tree Model Registration with Electromagnetic Tracking
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Solution Overview
Problem
Current bronchoscopy systems face limitations in navigating the airways due to their size and the difficulty in distinguishing three-dimensional luminal passageways from solid tissue using two-dimensional fluoroscopic images, which hinders precise navigation and registration of bronchial tree models with real-time feedback.
Innovation Solution
A method involving the generation of a 3D model of the luminal network based on images, an electromagnetic field, and a location sensor for real-time tracking and registration, integrated with a user interface for live bronchoscopic image display and verification of sensor location within the bronchial tree model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If a bronchoscope is used to inspect the airway, then the airway can be illuminated and imaged, but the bronchoscope cannot reach deep target locations due to its size
Solution Approach 1:
The system divides the airway inspection task into two components: a flexible bronchoscope for illumination and imaging, and a separate electromagnetic tracking catheter for navigation and target reaching. This segmentation allows each component to be optimized independently - the bronchoscope remains manageable in size while the catheter can reach deep locations through the flexible electromagnetic field tracking capability
Solution Approach 2:
An electromagnetic field is introduced as an intermediary between the bronchoscope system and the airway anatomy. The electromagnetic tracking catheter interacts with this field to provide real-time position feedback, enabling navigation to deep locations without requiring the bronchoscope itself to extend that far
2Measurement precision
If fluoroscopy is used for real-time imaging, then deep locations can be visualized, but it is difficult to distinguish luminal passageways from solid tissue and the images are two-dimensional
Solution Approach 1:
The system transforms the two-dimensional fluoroscopic images into three-dimensional spatial information by integrating electromagnetic tracking data. The tracked catheter position provides depth and spatial context that converts flat images into navigable 3D airway maps, restoring the third dimension lost in fluoroscopy
Solution Approach 2:
Electromagnetic tracking serves as an intermediary that bridges the gap between 2D fluoroscopic imaging and 3D spatial understanding. By tracking the catheter's position in three dimensions and overlaying this data on the 2D images, the system provides both the visualization capability of fluoroscopy and the spatial discrimination of 3D mapping
3Measurement precision
If a 3D model of the airway is generated from CT images, then three-dimensional navigation is enabled, but real-time registration feedback is lacking
Solution Approach 1:
The system implements real-time feedback during registration by continuously tracking the electromagnetic catheter position and comparing it with the pre-generated 3D CT model. This feedback loop allows immediate verification of registration accuracy and enables adjustments to be made during the procedure rather than requiring time-consuming post-procedure analysis
Solution Approach 2:
The electromagnetic tracking provides continuous position data throughout the procedure, maintaining an ongoing registration process rather than performing discrete registration steps. This continuous action ensures that the 3D model remains accurately aligned with the patient's actual airway anatomy throughout the entire procedure
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and precise registration of the bronchial tree model with real-time feedback, facilitating improved navigation and manipulation of tools within the airways, overcoming the limitations of existing systems by providing three-dimensional visualization and confirmation of sensor location within the airway boundaries.
Implementation Method 1
generating an electromagnetic field about the luminal network
Data Source
AI summary
A method of registering a luminal network to a 3D model of the luminal network with real-time feedback is disclosed, including generating the 3D model of the luminal network based on images of the luminal network, generating an electromagnetic field about the luminal network, inserting a location sensor into the electromagnetic field, tracking the location of the sensor within the luminal network, comparing the tracked locations of the sensor with sensors located outside of the luminal network and the portions of the 3D model representative of open space, and presenting on a user interface an indication of which portions of the luminal network have been sufficiently traversed by the sensor to register that portion of the luminal network to the 3D model.