Mapping Function Quality Measure for Invasive Procedures
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Solution Overview
Problem
Current dielectric imaging processes lack a quality measure to determine the sufficiency of data collection for generating accurate mapping functions, leading to potential inaccuracies in tracking interventional devices within anatomical cavities.
Innovation Solution
A processing system that provides quality measures for mapping functions, indicating the accuracy of electrode position predictions within anatomical cavities, allowing clinicians to assess and improve data collection during invasive procedures, thereby reducing unnecessary investigation and ensuring high-quality anatomical models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data collection during invasive procedures is extended to improve mapping function quality, then measurement precision improves, but loss of time and increased procedural invasiveness worsen
Solution Approach 1:
The system provides real-time feedback on mapping function quality by calculating quality measures based on the distribution and density of measured positions. This feedback enables clinicians to assess whether sufficient data has been collected and make informed decisions about when to stop data collection, balancing measurement precision with procedural time.
Solution Approach 2:
The system performs preliminary assessment of data sufficiency by analyzing the distribution of measured positions and calculating quality measures before final mapping function generation. This allows clinicians to determine in advance whether additional data collection is necessary, avoiding unnecessary procedural extension.
2Loss of time
If data collection is reduced to minimize procedural invasiveness, then loss of time improves, but measurement precision deteriorates
Solution Approach 1:
Real-time quality measure feedback allows clinicians to stop data collection when sufficient precision is achieved, preventing both over-collection (wasting time) and under-collection (reducing precision). The system continuously monitors whether the current data set produces acceptable mapping function quality.
Solution Approach 2:
The system dynamically adjusts the sufficiency threshold parameter to balance precision and time. By modifying this parameter, clinicians can prioritize either measurement precision or procedural time based on clinical needs, allowing flexible optimization of the trade-off.
3Reliability
If comprehensive data collection is performed to ensure high-quality anatomical models, then reliability improves, but device complexity increases
Solution Approach 1:
The system automatically calculates quality measures and provides feedback on data sufficiency, eliminating the need for clinicians to manually assess data quality or determine when sufficient data has been collected. This automated feedback mechanism ensures reliable anatomical models without increasing operational complexity.
Solution Approach 2:
The system performs self-assessment of data quality by automatically analyzing the distribution of measured positions and calculating whether the data set is sufficient for high-quality mapping. This self-service capability ensures reliability without requiring additional complex manual evaluation procedures.
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
The system enhances the accuracy and reliability of anatomical models by providing real-time feedback on mapping function quality, minimizing data collection errors and ensuring robust tracking of interventional devices.
Implementation Method 1
two or more crossing electrical fields are induced by an array of electrodes positioned on the outside of the subject
Implementation Method 2
These electric fields induce position dependent electromagnetic responses, such as a voltage response, in electrodes placed within the body
Data Source
AI summary
A mechanism for generating and providing one or more quality measures of a mapping function (for mapping electrical responses of an electrode to a predicted position of that electrode within an anatomical cavity) to a user, such as a clinician. Each quality measure predicts or indicates a quality of a mapping function with respect to a particular part of an anatomical cavity, for instance, indicating a predicted accuracy of the mapping function for predicting a position of an electrode located within a particular portion of the anatomical cavity. A user-perceptible output is provided that indicates the quality measure for the user.