Atrial Fibrillation Ablation Target Identification Using Fibrosis Spatial Distribution
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Solution Overview
Problem
Current methods for treating atrial fibrillation, particularly in patients with persistent AF and extensive fibrosis, are ineffective due to invasive and time-consuming electro-anatomical mapping procedures, and rely solely on quantifying fibrosis without considering its spatial distribution for ablation targets.
Innovation Solution
A method that involves receiving imaging data, processing it to characterize tissue as fibrotic or non-fibrotic, calculating metrics of spatial distribution, and identifying cardiac tissue ablation targets based on these metrics to create a personalized treatment plan, potentially reducing the need for invasive procedures and improving treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electro-anatomical mapping is used to determine ablation targets in patients with persistent AF and fibrotic remodeling, then ablation targets can be identified, but the procedure becomes invasive, time-consuming, and tedious
Solution Approach 1:
The patent performs fibrosis quantification and spatial distribution analysis using LGE-MRI imaging before the ablation procedure. This preliminary characterization of fibrotic tissue patterns allows the treatment team to pre-identify potential ablation targets and plan the procedure in advance, eliminating the need for time-consuming intra-procedural electro-anatomical mapping while maintaining target identification accuracy
Solution Approach 2:
The patent replaces the mechanical/invasive electro-anatomical mapping system with a non-invasive LGE-MRI imaging and computational analysis system. The MRI-based fibrosis characterization provides equivalent or superior target identification capability without requiring invasive catheter insertion and real-time electrical mapping during the procedure
2Ease of manufacture
If only the observed amount of fibrosis is used for risk assessment, then the assessment is simple, but it lacks the spatial distribution information needed for effective treatment planning
Solution Approach 1:
The patent segments the atrial tissue into fibrotic and non-fibrotic regions based on LGE-MRI signal intensity thresholds. This segmentation creates a spatial map of fibrosis distribution that quantifies both the amount and location of fibrotic tissue, providing comprehensive information for treatment planning while maintaining computational efficiency
Solution Approach 2:
The patent transitions from one-dimensional fibrosis quantification (total amount) to three-dimensional spatial distribution mapping by analyzing LGE-MRI data in 3D space. This dimensional expansion reveals the anatomical location, extent, and pattern of fibrosis, enabling precise identification of ablation targets that would be invisible with simple scalar measurements
3Object-affected harmful factors
If LGE-MRI is used to quantify fibrosis amount, then non-invasive assessment is achieved, but only the amount of fibrosis is measured without spatial distribution characteristics
Solution Approach 1:
The patent makes the LGE-MRI imaging system multi-functional by using the same non-invasive images for both fibrosis quantification and spatial distribution analysis. The LGE-MRI scanner serves dual purposes: assessing the amount of fibrosis for risk stratification and mapping the spatial patterns for ablation target identification, eliminating the need for additional invasive procedures
Data Source
AI summary
According to some embodiments of the invention, a method for providing an atrial fibrillation (AF) ablation treatment plan includes receiving imaging data for at least a portion of an atrial region of a subject's heart, and processing the imaging data to characterize tissue as one of fibrotic tissue or non-fibrotic tissue. The method further includes calculating a metric of spatial distribution of at least a portion of the tissue characterized as fibrotic tissue from the processing the imaging data, identifying a cardiac tissue ablation target based on the metric, and providing an AF treatment plan that includes the cardiac tissue ablation target as at least a portion of the AF treatment plan.


