Geodesic Transfer for 3D Heart Map Noise Reduction
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Solution Overview
Problem
Medical procedures for mapping the electrical activity of the heart face significant noise issues in measurements, which existing technologies have not adequately addressed, leading to inaccurate data and poor visualization.
Innovation Solution
A method and apparatus that receive initial measured values of physiological parameters, form a correspondence with a 3D map of spatial elements, adjust element values assuming geodesic transfer between contiguous map elements, and display a smoothed map of the organ, specifically using geodesic transfer to minimize noise and improve data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geodesic transfer method is applied to adjust element values, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary computational process (geodesic transfer algorithm) that acts as a mediator between the noisy measured values and the final adjusted element values. This intermediary process systematically propagates and adjusts values across the 3D map elements based on geodesic relationships, thereby improving measurement precision while containing complexity through a structured approach rather than ad-hoc methods
Solution Approach 2:
The patent segments the 3D map into discrete map elements (such as tetrahedra or triangles) and processes each element individually through the geodesic transfer method. By dividing the continuous spatial domain into manageable discrete elements, the system can apply the complex geodesic transfer calculations in a modular fashion, improving overall measurement precision while making the computational complexity more tractable
2Measurement precision
If geodesic transfer is used to adjust element values across map elements, then data accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the geodesic relationships and adjacency structures between map elements before the actual adjustment process. By pre-computing the geodesic paths and neighbor relationships, the system reduces the computational burden during the actual value adjustment phase, thereby improving data accuracy while minimizing the time penalty
Solution Approach 2:
The geodesic transfer method continuously propagates adjusted values across adjacent map elements in a systematic sequence, ensuring that each element benefits from the adjustments of its neighbors. This continuous propagation approach improves data accuracy across the entire map while optimizing processing time by avoiding repeated back-and-forth adjustments
Data Source
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Figure 3A~3B
AI summary
A method for mapping, consisting of receiving an initial set of measured values of a physiological parameter, which were measured at respective locations in a body organ and receiving a three-dimensional (3D) map of the organ including an array of spatial map elements. The method includes forming a correspondence between the respective locations at which the measured values were measured and a sub-group of the map elements, and in response to the correspondence, associating respective element values of the physiological parameter with map elements other than the sub-group. The method further includes adjusting the respective element values so that contiguous sets of the map elements form a geodesic, and displaying a map of the organ showing the adjusted element values.