3D Localization Field Correction via Electrode Calibration
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Solution Overview
Problem
Localization systems face reduced precision and accuracy due to inhomogeneities in the localization field, which affect the measurement of object positions within cardiac diagnostic and therapeutic procedures.
Innovation Solution
A method and system that utilize a catheter with electrodes and a three-dimensional lookup table to determine electrode locations, calculate error signals, and adjust reference data using a Kernel function to correct for inhomogeneities, ensuring accurate positioning within the localization field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a localization system measures position using a characteristic of the localization field (such as voltage), then position measurement is enabled, but inhomogeneities in the field reduce measurement precision and accuracy
Solution Approach 1:
The patent transforms the localization field characteristic measurements into corrected position information by changing the parameter representation through calibration. The system measures field characteristics (voltage) and transforms them into accurate position data using calibration data that accounts for field inhomogeneities, thereby resolving the contradiction between enabling position measurement and maintaining measurement accuracy.
Solution Approach 2:
The patent implements a feedback mechanism where the localization system continuously measures position using the localization field characteristics and compares these measurements against calibration data. The system uses the difference between measured and expected values to correct for inhomogeneities, creating a closed-loop feedback system that maintains measurement accuracy despite field variations.
2Measurement precision
If calibration data is collected at multiple locations to account for field inhomogeneities, then measurement accuracy improves, but system complexity and calibration time increase
Solution Approach 1:
The patent applies preliminary action by performing calibration measurements at multiple predetermined locations before actual position measurements are taken. The calibration data collected in advance creates a reference map that accounts for field inhomogeneities, allowing the system to compensate for variations without adding complexity during operational measurements. This preliminary calibration step resolves the contradiction by preparing correction data beforehand.
Solution Approach 2:
The patent introduces an additional dimension of calibration space by collecting data at multiple three-dimensional locations throughout the localization field. This creates a volumetric calibration dataset that maps field characteristics across the entire measurement space, allowing the system to account for inhomogeneities in all spatial dimensions and thereby improve accuracy without proportionally increasing operational complexity.
3Ease of manufacture
If the localization field is assumed to be homogeneous for simplified calculations, then computational complexity reduces, but position measurement accuracy deteriorates due to actual field inhomogeneities
Solution Approach 1:
The patent creates a virtual copy or model of the actual localization field through calibration data. Instead of directly using the complex, inhomogeneous field measurements, the system creates a calibrated reference model that represents the true field characteristics. This copied model can then be used for simplified calculations while maintaining accuracy, resolving the contradiction between computational simplicity and measurement precision.
Solution Approach 2:
The patent transforms the raw localization field characteristic measurements into corrected position parameters using calibration data. By changing the parameter representation from direct field measurements to calibration-corrected coordinates, the system simplifies subsequent calculations while accounting for field inhomogeneities, thereby resolving the contradiction between computational ease and measurement accuracy.
Data Source
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AI summary
A method for determining a location of an object in a three-dimensional localization field created by a localization system includes the following steps: providing a catheter having known spacing between electrodes; providing a lookup table of data correlating locations of an object within the localization field with measurements made by the localization system; placing the catheter into the localization field; using the localization system to determine the location of the electrodes based on the lookup table; calculating an observed distance between electrodes; comparing the observed distance to the known electrode spacing; and adjusting the lookup table to more accurately measure the spacing of the electrodes. A Kernel function, such as the derivative of a Gaussian function, may be used to update the lookup table.