Electroanatomical Mapping With Projection Thresholds for Cardiac Surfaces
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Solution Overview
Problem
Existing cardiac mapping techniques using multi-electrode catheters face inaccuracies in projecting map data due to close proximity of heart surfaces, leading to incorrect projections, particularly near structures like the mitral valve and septum.
Innovation Solution
An electroanatomical mapping system that receives user inputs for generating geometric and electrophysiology maps, assigns data points accurately to respective models, and uses projection distance thresholds to ensure correct data representation, with optional model splitting based on user-defined bounding boxes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If projection techniques are used to couple map data to model data, then data assignment efficiency is improved, but projection accuracy deteriorates when surfaces are very close to each other
Solution Approach 1:
The system performs preliminary actions by establishing a projection distance threshold before data assignment occurs. This threshold is calculated based on the geometric model surfaces, and data points are screened against this threshold prior to projection, preventing incorrect assignments before they happen. This resolves the contradiction by maintaining efficiency through automated screening while improving accuracy through pre-established geometric constraints.
Solution Approach 2:
The projection distance threshold acts as an intermediary between the map data and the geometric model. Instead of directly projecting all data points to surfaces, the threshold mediates the assignment process by filtering out points that would incorrectly map to nearby surfaces. This intermediary mechanism maintains processing efficiency while eliminating projection errors in regions where cardiac surfaces are in close proximity.
2Speed
If data points are assigned to geometric models without distance thresholds, then assignment speed is improved, but data assignment accuracy deteriorates
Solution Approach 1:
The system calculates and stores projection distance thresholds in advance based on the geometric model's surface geometry. During data assignment, pre-computed thresholds are quickly compared against data point positions, enabling fast filtering without complex real-time calculations. This preliminary preparation maintains high assignment speed while ensuring accurate data-point-to-surface matching.
Solution Approach 2:
The geometric model itself provides the criteria for accurate data assignment through its inherent surface geometry. The model's spatial structure automatically defines valid projection zones and distance thresholds, eliminating the need for external manual intervention or complex algorithms. The system uses the model's own geometric properties to guide accurate and efficient data point assignment.
Data Source
AI summary
In an electrophysiology study, an electroanatomical mapping system receives user input specifying a geometric model to be generated and an electrophysiology map to be generated. The system then receives a plurality of data points from a multi-electrode catheter, with each data point including at least location data and optionally electrophysiology data. The system then assigns each data point to the geometric model and the electrophysiology map. A “model only” mode, where each data point is assigned only to the geometric model, and a “map only” mode, where each data point is assigned only to the electrophysiology map are also contemplated.