Medical Navigation System Using Fuzzy Logic for Catheter Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current catheter systems face challenges in achieving optimal alignment and reaching all desired positions within body lumens, leading to suboptimal diagnostic and therapeutic outcomes due to limitations in device performance and user skill variability.
Innovation Solution
The application of fuzzy logic and machine learning techniques to guide navigation by analyzing medical device parameters, tissue information, and previous procedure data, providing users with recommended navigation paths and success probability assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional catheter navigation is used, then the system is simple to operate, but the device cannot reach all positions with acceptable alignment
Solution Approach 1:
The patent introduces a navigation system as an intermediary between the catheter and the target position. This system uses image processing, path planning algorithms, and real-time guidance to mediate the navigation process, enabling the catheter to reach positions that would otherwise be inaccessible while maintaining operational simplicity for the user.
Solution Approach 2:
The patent replaces manual mechanical navigation with an automated guidance system. Instead of relying solely on the operator's skill and manual manipulation, the system uses computational algorithms to plan and execute the navigation path, substituting mechanical trial-and-error with intelligent path optimization.
2Ease of operation
If more navigation paths are provided with probability assessments, then the decision-making quality improves, but the user interface complexity increases
Solution Approach 1:
The patent implements a feedback mechanism that provides probability assessments for different navigation paths based on real-time analysis of device parameters and anatomical structure. This feedback loop presents multiple possible paths with their associated success probabilities, enabling informed decision-making while the system automatically processes the complexity of path evaluation.
Solution Approach 2:
The system changes the parameters presented to the user from raw navigation data to processed probability assessments. By transforming complex navigation parameters into intuitive probability scores, the system makes decision-making easier without exposing the user to the underlying computational complexity.
3Productivity
If real-time navigation guidance is provided, then the procedure time decreases, but the computational requirements increase
Solution Approach 1:
The patent performs preliminary path planning and probability assessment before the actual navigation begins. By pre-calculating multiple possible paths and their success probabilities based on the anatomical structure and device characteristics, the system reduces real-time computational burden while maintaining high procedure efficiency through having navigation options ready in advance.
Data Source
AI summary
Surgical navigation systems and methods display navigation options and other relevant information to assist a clinician during navigation of a medical device through a branched structure of a patient's body. The navigation systems and methods receive image data and procedure information including patient information and user information. The navigation systems and methods then determine navigation options including possible paths based on the image data and the procedure information, and display the navigation options and user controls for selecting one of the displayed navigation options.