Operator-Controlled Map Point Density for Medical Imaging
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Solution Overview
Problem
In electrophysiological diagnostic procedures, such as intracardiac electrical mapping, the high density of map points on the surface of a body organ can obscure important information, making it difficult for operators to interpret the data effectively.
Innovation Solution
A method and system that allow operators to specify and control the spatial density of map points displayed on the surface of a body organ, enabling the selection and visualization of a subset of map points at a desired density, either for the entire surface or specific regions, while retaining the original map points for reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map points are displayed at high density to preserve data quality and completeness, then measurement precision and data completeness are improved, but the map becomes cluttered and difficult to interpret
Solution Approach 1:
The system dynamically adjusts map point density based on operator input and regional importance. The display density is not fixed but can be modified in real-time, allowing the interface to adapt between showing all points for completeness and fewer points for clarity, resolving the contradiction between data completeness and interpretability
Solution Approach 2:
Different regions of the map can have different display densities. Important regions can show higher density points while less critical areas show lower density, allowing the operator to maintain data completeness overall while improving interpretability in specific areas through localized density adjustment
2Loss of information
If all map points are displayed to maintain data availability, then information completeness is preserved, but visual clutter increases and obscures important information
Solution Approach 1:
The system extracts and displays only a subset of map points based on operator specifications. By selectively taking out and displaying only the necessary points while retaining others in memory, the system reduces visual clutter while preserving information completeness through selective extraction rather than displaying all points simultaneously
Solution Approach 2:
The display configuration is dynamic, allowing operators to adjust which points are visible at any given time. This dynamic control enables the system to reduce visual clutter by hiding unnecessary points while maintaining the ability to restore complete information when needed
3Measurement precision
If map point density is increased to improve mapping accuracy, then measurement precision is improved, but the complexity of visualizing and interpreting the data increases
Solution Approach 1:
The visualization system dynamically adjusts between high-density and low-density display modes. This dynamic capability allows the system to maintain mapping accuracy by preserving all measurement points in memory while reducing visualization complexity through selective display based on operator needs and regional importance
Data Source
AI summary
A method includes accepting from a medical imaging system a plurality of map points, each map point including a respective coordinate on a surface of a body organ measured by bringing a medical probe into proximity with the surface. An operator input, which specifies a spatial density at which the map points are to be displayed, is accepted. A subset of the map points is selected responsively to the operator input. The surface is visualized at the specified spatial density by displaying the selected subset of the map points.