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Determining six cardiac conductivities from realistically large datasets.
Barbara M Johnston1, Peter R Johnston1
1School of Natural Sciences and Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia.
Mathematical Biosciences
|June 7, 2015
Summary
Accurate bidomain conductivities and fibre rotation are crucial for cardiac electrophysiology simulations. This study refines an inversion algorithm, improving parameter retrieval accuracy even with significant noise, enhancing the reliability of cardiac models.
Area of Science:
- Computational Biology
- Biophysics
- Medical Imaging
Background:
- Accurate bidomain model parameters are essential for simulating cardiac electrophysiological behavior.
- Previous inversion algorithms could retrieve six bidomain conductivities and fibre rotation from electric potential measurements.
Purpose of the Study:
- To improve the accuracy of retrieved bidomain parameters using an inversion algorithm.
- To evaluate the impact of retrieving fewer parameters and using a single-pass algorithm.
- To identify the optimal data analysis method for parameter retrieval from large datasets.
Main Methods:
- An inversion algorithm was applied to simulated cardiac electrophysiological data.
- The algorithm's performance was tested with variations in parameter retrieval scope (conductivities only vs. conductivities and fibre rotation).
- A single-pass algorithm application with a 'widely-spaced' electrode set was investigated.
- Parameter retrieval accuracy was assessed using large datasets with varying levels of added noise (up to 40%).
Main Results:
- Retrieving only conductivities did not significantly improve accuracy.
- A single-pass algorithm is less accurate for intracellular conductivities compared to the two-pass method, especially with noise.
- Extracellular conductivities were retrieved with high accuracy (around 2% error) even with 40% noise.
- Intracellular longitudinal conductivities and fibre rotation showed errors less than 8% on average with noise.
- Other intracellular conductivities had errors generally less than twice the added noise levels.
Conclusions:
- The refined inversion algorithm demonstrates robust performance in retrieving bidomain parameters from cardiac electrophysiological data.
- High accuracy in parameter retrieval is achievable even with substantial noise, supporting the use of this method for realistic simulations.
- The two-pass method remains preferable for intracellular conductivity retrieval, particularly in noisy conditions.
