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Updated: May 23, 2025

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High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
Published on: July 29, 2011
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Optical Ultrastructure of Cardiac Tissue Helps to Reproduce Discordant Alternans by In Silico Data Assimilation.
Marcel Hörning1, Alessandro Loppini2, Julia Erhardt1
1Institute of Biomaterials and Biomolecular Systems, University of Stuttgart, 70569 Stuttgart, Germany.
Summary
A new Fast-Fourier-Imaging (FFI) method accurately detects cardiac alternans, predicting arrhythmias. This technique aids in creating precise computational models for personalized heart simulations and improved patient care.
Area of Science:
- Cardiology
- Computational Biology
- Biomedical Imaging
Background:
- Identifying cardiac dysfunction biomarkers and predictive models is crucial.
- Alternans regimes precede tachycardia and fibrillation, but predicting them remains challenging.
- Accurate methods to model alternans are needed for experimental validation.
Purpose of the Study:
- To present a novel Fast-Fourier-Imaging (FFI) method for early detection of cardiac alternans.
- To recover tissue structural information from voltage mapping data.
- To inform computational models for accurate in-silico reproduction of experimental observations.
Main Methods:
- Developed an FFT-based method (FFI) for voltage mapping data analysis.
- FFI identifies alternating cardiac dynamics and tissue structural information.
- Used extracted ultrastructural details for data assimilation into computational models.
Main Results:
- FFI accurately identifies alternans patterns with minimal data preprocessing.
- The method enables early detection of concordant and discordant alternans.
- In-silico recovery of ex-vivo canine heart observations was achieved.
Conclusions:
- FFI offers an accurate and convenient method for predicting cardiac alternans.
- The technique facilitates personalized modeling and whole-organ simulations.
- FFI analysis supports new mathematical approaches in cardiac electrophysiology.

