Cardiac Mapping Segmentation for Objective Ablation Targeting
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Solution Overview
Problem
Current invasive and non-invasive cardiac arrhythmia ablation treatments lack formal decision support for target selection, leading to user-dependent variability and inconsistent outcomes due to manual conversion of imaging and clinical data.
Innovation Solution
A method for non-invasively identifying cardiac arrhythmia targets using multi-modal image mappings and risk profiles, involving segmentation of heart images to automatically define treatment regions, integrating electrophysiological and anatomical signatures, and generating a consistent treatment plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual conversion of imaging and clinical data by clinicians is used, then treatment can be directed to cardiac arrhythmia targets, but user-dependent variability in treatment selection and target determination occurs
Solution Approach 1:
The patent replaces the manual mechanical process of clinician data conversion with an automated computational system that processes imaging and clinical data to generate treatment targets, eliminating user-dependent variability while maintaining treatment directionality
Solution Approach 2:
The system enables self-service by allowing the computational algorithm to automatically identify treatment targets and generate treatment plans without requiring manual clinician intervention for target determination, while still providing clinically-guided oversight
2Reliability
If invasive catheter ablation is used, then cardiac arrhythmia can be treated, but significant risk to the patient is introduced
Solution Approach 1:
The patent introduces non-invasive imaging and computational modeling as intermediary steps between diagnosis and treatment, allowing for precise target identification and treatment planning that reduces the need for invasive procedures while maintaining treatment effectiveness
Solution Approach 2:
The system performs preliminary non-invasive assessment and target identification using multi-modal imaging and clinical data before any invasive treatment is attempted, allowing for optimized treatment planning that minimizes patient risk
3Productivity
If ad hoc target selection is used, then treatment can be determined quickly, but formal decision support is lacking resulting in inconsistent outcomes
Solution Approach 1:
The patent implements feedback loops where the computational system continuously refines target identification based on multi-modal imaging data and clinical outcomes, ensuring consistent and reliable treatment decisions while maintaining efficient processing speeds
Solution Approach 2:
The system segments the complex treatment planning process into distinct analytical components that can be processed systematically, providing formal decision support for each aspect of target selection while maintaining overall treatment planning efficiency
Data Source
AI summary
A method for selecting one or more targets for non-invasively treating a cardiac arrhythmia in a patient includes receiving a mapping associated with the patient's heart and generating a segmented model of the mapping associated with the patient's heart. The segmented model divides the mapping into a plurality of segments. The method includes identifying one or more abnormality in the segmented model of the mapping associated with the patient's heart, determining which segment or segments of the plurality of segments include the identified one or more abnormality, and selecting a target for non-invasive treatment of the cardiac arrhythmia based on the determined segment or segments of the plurality of segments that include the identified one or more abnormality.