Automated Vein Shaving for Accurate Electro-Anatomical Maps
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Solution Overview
Problem
Existing anatomical mapping techniques, such as Fast Anatomical Mapping (FAM), suffer from manual shaving processes that are time-consuming and prone to inaccuracies, leading to artifacts like veins appearing narrow in one portion and larger in another, potentially misinterpreting pulmonary vein stenosis.
Innovation Solution
An automated technique revises electro-anatomical maps by determining best-fitting ellipses and calculating a generalized cylindrical volume to remove data points outside this volume, generating an updated map with improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual shaving is performed to remove artifacts, then map accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs automated shaving by detecting artifacts based on geometric criteria (circularity, aspect ratio, volume consistency) and automatically removing inconsistent voxels without requiring manual operator intervention, thereby resolving the contradiction between accuracy improvement and time consumption
Solution Approach 2:
The system changes the state of the map by applying automated algorithms that evaluate multiple geometric parameters (circularity, aspect ratio, volume consistency) to identify and remove artifacts, transforming the manual process into an automated parameter-based decision system that maintains accuracy while reducing time
2Manufacturing precision
If manual shaving is performed to remove artifacts, then map accuracy is improved, but operator effort increases
Solution Approach 1:
The system performs automated shaving by detecting artifacts based on geometric criteria (circularity, aspect ratio, volume consistency) and automatically removing inconsistent voxels without requiring manual operator intervention, thereby resolving the contradiction between accuracy improvement and operator effort
Solution Approach 2:
The system replaces the manual mechanical shaving process with an automated computational algorithm that uses geometric parameter analysis to identify and remove artifacts, eliminating the need for operator manual manipulation while maintaining or improving accuracy
3Productivity
If automated shaving is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The automated shaving process is segmented into distinct computational stages: artifact detection based on geometric parameters, artifact verification through multiple criteria evaluation, and selective voxel removal. This segmentation manages algorithmic complexity while maintaining high processing speed and productivity
Data Source
AI summary
An automated technique for revising an electro-anatomical map generated using a catheter having a plurality of electrodes. A first electro-anatomical map that includes an anatomical structure having a mapped volume with a substantially tubular shape is displayed, and one or more points along medial axis of the mapped volume are estimated. At a first cross-section of the mapped volume, a first best-fitting ellipse is determined. A generalized cylindrical volume is calculated between the first cross-section and a second cross-section in accordance with at least the first best-fitting ellipse. Data points from the mapped volume that are outside of the generalized cylindrical volume are removed and a revised map is displayed.