Cardiac EP Mapping via Regular Mesh Re-meshing and Iterative LAT Calculation
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Solution Overview
Problem
Current cardiac electrophysiological mapping technologies face challenges in accurately identifying scar tissue and reentry effects, leading to incorrect local activation times and artifacts in electrophysiological maps, which can hinder the diagnosis and treatment of cardiac arrhythmias.
Innovation Solution
The method involves re-meshing a cardiac chamber's input mesh into a regular mesh of regularized polygons, iteratively calculating local activation times and probabilities to create a coherent electrophysiological activation wave that indicates scar tissue, and presenting an electroanatomical map with conduction arrows to overlay the activation wave and scar tissue, thereby eliminating reentry-related artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional electrophysiological mapping methods are used to identify scar tissue and reentry effects, then the mapping process can be performed with conventional techniques, but the accuracy of identifying scar tissue and reentry effects is poor, leading to incorrect local activation times and artifacts in electrophysiological maps
Solution Approach 1:
The patent segments the electrophysiological mapping process into distinct computational stages: (1) receiving input mesh and measured locations with LATs, (2) re-meshing into regular mesh, (3) iterative calculation of LAT values and scar probabilities, and (4) generating the final map. This segmentation allows each stage to be optimized independently, improving overall measurement precision while managing computational complexity.
Solution Approach 2:
The patent introduces an intermediary regular mesh structure between the irregular input mesh and the final electrophysiological map. This regular mesh acts as a mediator that standardizes the data structure, enabling more accurate iterative calculations of LAT values and scar probabilities, thereby reducing artifacts and improving measurement precision.
2Measurement precision
If iterative calculation of LAT values and scar probabilities is performed to obtain accurate EP activation wave, then the identification of scar tissue is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent employs dynamic iterative calculation where LAT values and scar probabilities are refined through multiple iterations. The system dynamically adjusts these values based on the EP activation wave coherence, allowing the computational process to adapt and converge toward an accurate solution while managing complexity through iterative refinement rather than static complex algorithms.
Solution Approach 2:
The iterative calculation process incorporates feedback mechanisms where the calculated LAT values and scar probabilities are continuously refined based on the coherence of the EP activation wave. This feedback loop allows the system to self-correct and improve accuracy with each iteration, balancing measurement precision with computational efficiency.
3Reliability
If re-meshing into regular mesh is performed to eliminate reentry-related artifacts, then the quality of electrophysiological map is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs re-meshing into a regular mesh as a preliminary action before the iterative calculation of LAT values and scar probabilities. By establishing the regular mesh structure in advance, the system eliminates reentry-related artifacts early in the process, preventing them from propagating through subsequent calculations and improving overall map reliability.
Solution Approach 2:
The transformation from irregular input mesh to regular mesh involves changing the geometric parameters of the mesh structure. This parameter change standardizes the spatial distribution of elements, enabling more efficient iterative calculations and improving the reliability of the final electrophysiological map while managing processing time through optimized transformation algorithms.
Data Source
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AI summary
A method includes receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations. The input mesh is re-meshed into a regular mesh including regularized polygons. The set of measured locations and respective LATs is data fitted to the regularized polygons. Respective LAT values, and respective probabilities that the wall tissue includes scar tissue, are iteratively calculated for the regularized polygons, so as to obtain an electrophysiological (EP) activation wave over the regular mesh that indicates scar tissue. An electroanatomical map overlaid on the regular mesh, the map including the EP activation wave and the scar tissue, is presented.