Electroanatomical Map Region Locking for Mapping Accuracy
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Solution Overview
Problem
Manual editing of electroanatomical maps to correct for inaccuracies such as undesired catheter positions and respiration-induced distortions is a time-consuming process, affecting the accuracy of cardiac cavity surface reconstructions.
Innovation Solution
A method and system that allow users to lock regions of an electroanatomical map to prevent subsequent updates, ignoring or excluding erroneous data points and reducing the need for manual editing by locking areas deemed accurate or with excessive catheter force, while enabling manual editing and unlocking of other regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual editing is performed to correct inaccuracies in electroanatomical maps, then mapping accuracy is improved, but the time and effort required for editing increases
Solution Approach 1:
The electroanatomical map is divided into multiple regions, with some regions locked to prevent editing and other regions unlocked for manual editing. This segmentation allows the user to focus editing efforts only on specific areas that require correction, rather than manually editing the entire map, thereby reducing overall editing time while maintaining accuracy in critical areas.
Solution Approach 2:
Regions are pre-locked before the manual editing process begins, based on preliminary assessment of which areas contain accurate data and which require correction. This preliminary action prevents the accumulation of errors in already-accurate regions and streamlines the subsequent editing process by limiting the scope of manual intervention to only necessary areas.
2Productivity
If continuous updates are applied to the EA map during data acquisition, then the map remains current with new data, but errors from excessive catheter force or wrong positions are propagated
Solution Approach 1:
Different regions of the electroanatomical map are assigned different update properties: locked regions reject updates to maintain data integrity, while unlocked regions accept updates to remain current. This local differentiation allows the system to maintain high productivity in regions where data is reliable while protecting regions where data accuracy is compromised by excessive catheter force or incorrect positioning.
Solution Approach 2:
By locking regions in advance before erroneous data can be introduced, the system prevents the propagation of errors from incorrect catheter positions or excessive force applications. This preliminary protective action ensures that once a region is deemed accurate, it remains protected from future contamination by poor-quality data points.
3Reliability
If all regions are locked to prevent updates, then error propagation is prevented, but the ability to correct identified errors is lost
Solution Approach 1:
The map is segmented into locked and unlocked regions, allowing simultaneous error prevention in locked areas and error correction capability in unlocked areas. This segmentation resolves the contradiction by providing different update behaviors for different regions based on their specific needs, maintaining both reliability and adaptability.
Solution Approach 2:
The locking status of regions can be dynamically changed by the user. Regions can be unlocked when editing is needed and re-locked when editing is complete, allowing the system to adapt to changing requirements during the mapping process. This dynamic control provides both error prevention and editing flexibility as needed.
Data Source
AI summary
A method includes presenting, on a display, an electroanatomical (EA) map of a surface of a cavity of an organ. Input is received from a user, and, in response to the user input, a region of the EA map is locked to subsequent updates.