Endoscopic Airway Diameter Determination via Tidal Motion Compensation
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Solution Overview
Problem
Current endoscopic procedures face challenges in accurately determining the dimensions of body lumens, such as airway diameters, due to tidal motion and variations along the lumen length, which complicates the selection and deployment of implants like tracheal stents and endotracheal valves.
Innovation Solution
A method and system that acquire medical image data of body lumens in different states, segment and register anatomical properties, estimate the endoscope's location, and identify properties in real-time using image processing and registration techniques, allowing for the selection and deployment of implants based on precise measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis techniques are used to determine lumen dimensions, then measurement capability is improved, but measurement precision deteriorates due to tidal motion and lumen variations
Solution Approach 1:
The system performs preliminary actions by acquiring multiple image data sets at different time points before final measurement, and pre-registers anatomical structures to establish reference frameworks. This allows the system to anticipate and compensate for tidal motion effects during the measurement process, improving reliability despite dynamic conditions
Solution Approach 2:
The system changes measurement parameters by evaluating lumen dimensions across multiple time points and different imaging conditions. By analyzing dimensional variations across these parameters and selecting representative values, the system compensates for tidal motion-induced measurement errors and improves overall measurement accuracy
2Productivity
If real-time determination of lumen properties is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system segments the complex image processing task into distinct modules: image acquisition, registration, feature extraction, and measurement calculation. Each module handles a specific aspect of the processing pipeline, allowing real-time operation through specialized optimization of each segment while managing overall system complexity
Solution Approach 2:
The system performs preliminary registration of anatomical structures and pre-processing of image data before real-time measurement is required. This preparatory work establishes reference frameworks and reduces computational burden during critical real-time operations, enabling productivity improvement without proportional complexity increase
3Reliability
If multiple image data sets are acquired and registered, then measurement reliability is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary registration of anatomical structures and pre-alignment of image data sets before final measurement analysis. This upfront preparation creates reusable reference frameworks that accelerate subsequent measurements, maintaining high reliability while reducing incremental processing time
Solution Approach 2:
The system applies different processing qualities to different regions of the image data, focusing computational resources on critical measurement regions while using simplified processing for less critical areas. This selective approach maintains measurement reliability in key areas while reducing overall processing time
Data Source
AI summary
A method and system for use with an endoscopic instrument determines anatomical properties of body lumen at various states. Lumen properties such as lumen diameter are identified in two or more states corresponding to, for example, an inflated or deflated state. The lumen states are registered with one another and the anatomical properties are identified in real time at the location of an endoscope or endoscopic instrument used with the endoscope. In one embodiment a diametrical range of an airway is identified in real time at the location of a bronchoscope.