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Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human

Xin Li1,2, Tiago P Almeida1,2,3, Nawshin Dastagir4

  • 1Department of Cardiovascular Science, University of Leicester, Leicester, United Kingdom.

Frontiers in Physiology
|August 15, 2020
PubMed
Summary
This summary is machine-generated.

Automated phase singularity detection for atrial fibrillation (AF) drivers varies by algorithm and parameters, impacting rotor-guided ablation consistency. Algorithm 4 + DBSCAN offers the best accuracy and speed for 3D meshes, while 3 + DBSCAN excels for 2D meshes.

Keywords:
atrial electrogramsatrial fibrillationcatheter ablationnon-contact mappingphase singularityrotorspiral wave

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Area of Science:

  • Electrophysiology
  • Computational Biology
  • Medical Imaging

Background:

  • Rotor-guided ablation shows promise for persistent atrial fibrillation (persAF) but faces reproducibility challenges.
  • Automated identification of phase singularities (PS), key AF drivers, is inconsistent due to differing algorithms.

Purpose of the Study:

  • To evaluate and compare the performance of four automated phase singularity detection algorithms.
  • To identify optimal parameters for improved accuracy and efficiency in PS detection for persAF ablation.

Main Methods:

  • Virtual electrograms from 10 persAF patients were analyzed using four PS detection algorithms (neighbor-indexing, kernel convolutional, topological charge on 2D/3D).
  • Performance was assessed using structural similarity index, Pearson's correlation, and Fβ scores with 10-fold cross-validation.
  • Density-based spatial clustering of applications with noise (DBSCAN) was integrated to enhance algorithms 3 and 4.

Main Results:

  • Default algorithm parameters yielded poorly correlated PS density maps.
  • Algorithm 4 + DBSCAN demonstrated the highest classification performance (Fβ = 0.831) with rapid processing (2.0 ± 0.3 s).
  • Algorithm 3 + DBSCAN also showed strong performance on 2D meshes.

Conclusions:

  • Inconsistencies in rotor-guided ablation outcomes may stem from variations in PS detection algorithms and parameters.
  • Algorithm 4 + DBSCAN (3D) and 3 + DBSCAN (2D) with optimized parameters are recommended for accurate, real-time automated PS detection.
  • Standardizing PS detection methods is crucial for future clinical studies and comparing rotor-guided ablation efficacy.