Electroanatomical Cavity Mapping With Locked Voxels for Remapping
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Solution Overview
Problem
Existing medical procedures for mapping and remapping a cavity, such as a heart chamber, are inefficient due to the need for repeated shaving of voxels and map changes, which consume time and resources.
Innovation Solution
Marking and locking voxels that were initially shaved, along with those in proximity, to prevent their reacquisition during remapping, thereby eliminating the need for repeated shaving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If voxels are shaved during initial mapping to correct surface errors, then mapping precision is improved, but time consumption increases during remapping due to repeated shaving
Solution Approach 1:
The system performs preliminary identification and locking of voxels that require shaving during the initial mapping phase. By pre-marking these voxels and preventing their reacquisition during remapping, the system eliminates the need for repeated shaving operations, thus resolving the time consumption issue while preserving mapping precision
Solution Approach 2:
The mapping volume is segmented into individual voxels, and specific voxels are identified and locked based on their surface error characteristics. This segmentation allows the system to selectively prevent reacquisition of problematic voxels without affecting the overall remapping process, maintaining precision while reducing time loss
2Reliability
If voxels are reacquired during remapping to ensure completeness, then data completeness is improved, but map changes increase due to repeated shaving
Solution Approach 1:
The system performs preliminary identification and locking of voxels that require shaving during the initial mapping phase. By pre-marking these voxels and preventing their reacquisition during remapping, the system eliminates the need for repeated shaving operations, thus resolving the time consumption issue while preserving mapping precision
Solution Approach 2:
Different quality treatments are applied to different voxels: locked voxels (those requiring shaving) are excluded from remapping, while non-locked voxels are normally reacquired. This local differentiation allows the system to maintain data completeness for most voxels while avoiding unnecessary map changes in problematic regions
Data Source
AI summary
A method, consisting of acquiring data representative of a volume of a cavity of an organ, presenting on a display an electroanatomical (EA) map of a surface, generated in response to the data, enclosing the volume, and receiving input from a user, the input including a selected section of the EA map. The method includes, in response to the user input, locking a portion of the volume to subsequent updates of the data when updating the EA map, the portion of the volume consisting of the selected section of the EA map.


