Sensor-Guided External Imaging Pose Recommendations for Bronchoscopy
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Solution Overview
Problem
Existing medical instruments face challenges in accurately aligning external imaging devices with the target area of interest due to limitations in location sensor accuracy, leading to suboptimal fluoroscopic images that hinder precise navigation and visualization during procedures like bronchoscopy.
Innovation Solution
A pose recommendation system that generates alignment recommendations for external imaging devices based on location data from medical instruments, using a control system to integrate and transform sensor data into a patient coordinate system, determining a visualization plane that includes the instrument's position and orientation, and projecting an imaging vector to optimize the imaging angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If location sensor data is used to guide external imaging device alignment, then navigation capability is improved, but imaging accuracy deteriorates due to sensor limitations
Solution Approach 1:
The system introduces an intermediary computational process that transforms location sensor data into pose recommendations. The pose recommendation module acts as a mediator between the imperfect sensor data and the imaging device alignment, computing optimal imaging angles and positions that compensate for sensor limitations through coordinate system transformations and geometric calculations.
Solution Approach 2:
The system changes the parameters of the imaging device based on processed location data. By calculating recommended imaging angles, positions, and orientation parameters, the system transforms the raw location sensor readings into actionable alignment parameters that optimize imaging accuracy despite the original sensor imprecision.
2Measurement precision
If multiple data transformations are performed to improve imaging alignment, then imaging accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the complex alignment problem into distinct computational modules: coordinate system transformation, pose recommendation generation, and imaging parameter calculation. Each module handles a specific aspect of the transformation chain, making the overall complex system more manageable and maintainable while achieving high alignment accuracy.
Solution Approach 2:
The pose recommendation module serves as an intermediary that simplifies the interface between the control system and the imaging device. Instead of requiring direct complex transformations, the module provides pre-computed recommended parameters that the imaging device can directly apply, reducing the operational complexity while maintaining accuracy.
Data Source
AI summary
A method for generating a pose recommendation for an external imaging device may include obtaining location data from one or more location sensors embedded in a medical instrument, the location data relating to locations of the medical instrument over a time period in a coordinate system, determining a medical instrument positioning and a medical instrument tip orientation using the location data, and determining the pose recommendation for the external imaging device using the medical instrument positioning and the medical instrument tip orientation. A system may be configured to perform this method.