3D Heart Tissue Mapping for Precise Arrhythmia Source Localization
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Solution Overview
Problem
Traditional methods for identifying the sources and locations of heart disorders such as arrhythmias are complex, cumbersome, and expensive, often involving invasive procedures with risks and limitations, and existing cardiac tissue state analysis cannot pinpoint precise arrhythmia sources.
Innovation Solution
A Tissue State Graphic Display (TSGD) system that non-invasively generates a 3D graphic representation of cardiac tissue state, integrating data from various scans to identify normal, border zone, and scar tissue, and superimposes source locations of abnormal electrical activity, utilizing machine learning to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional electrophysiology catheter methods are used to identify arrhythmia sources, then measurement precision is improved, but device complexity and risk increase
Solution Approach 1:
The patent creates a computational model (digital twin) of the heart that replicates electrical activity and tissue properties. This virtual copy allows analysis of arrhythmia sources without physical invasive procedures, maintaining measurement precision while eliminating procedure complexity and risks associated with catheter insertion
Solution Approach 2:
The patent replaces mechanical/electrophysiological measurement systems (catheters with electrodes) with a computational modeling system. The model uses patient-specific anatomical data and electrical measurements to simulate and analyze arrhythmia mechanisms, substituting invasive mechanical procedures with non-invasive computational analysis
2Ease of operation
If body surface vest methods are used to collect arrhythmia measurements, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from 2D body surface measurements to 3D volumetric analysis by creating a three-dimensional computational model of the heart. This allows precise localization of arrhythmia sources within the heart's internal structure, overcoming the limitation of surface-level measurements while maintaining ease of non-invasive data collection
Solution Approach 2:
The patent introduces a computational model as an intermediary between simple body surface measurements and precise arrhythmia source identification. The model processes and integrates multiple data types (anatomical imaging, ECG, electrophysiological data) to translate surface measurements into precise three-dimensional source location information
3Measurement precision
If invasive electrophysiology catheter procedures are performed, then measurement precision is improved, but object-affected harmful factors increase
Solution Approach 1:
The patent creates a virtual replica of the heart that can be extensively analyzed without risking the actual organ. The computational model allows repeated measurements and simulations that would be dangerous if performed physically on the patient, eliminating risks of cardiac perforation and tamponade while maintaining analytical precision
Solution Approach 2:
The patent performs all measurements and analyses beforehand in the virtual model before any potential intervention. This allows complete characterization of arrhythmia mechanisms and tissue properties in advance, cushioning against the risks of subsequent invasive procedures by providing comprehensive pre-planning data
4Ease of operation
If traditional tissue state analysis methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent merges multiple data types including anatomical imaging (MRI, CT), electrophysiological measurements, and computational modeling into a single integrated three-dimensional visualization. This combination provides both ease of operation through unified analysis and high precision by synthesizing information from multiple precise measurement sources
Data Source
AI summary
A system is provided for augmenting a three-dimensional (3D) model of a heart to indicate the tissue state. The system accesses a 3D model of a heart, accesses two-dimensional (2D) images of tissue state slices of the heart, and accesses source location information of an arrhythmia. The system augments the 3D model with an indication of a source location based on the source location information. For each of a plurality of the tissue state slices of the heart, the system augments a 3D model slice of the 3D model that corresponds to that tissue state slice with an indication of the tissue state of the heart represented by the tissue state information of that tissue state slice. The system then displays a representation of the 3D model that indicates the source location of the arrhythmia and the tissue state of the heart.