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An automatic and accurate registration method for electro-anatomical map and CT surface
Lixia Shu1, Jin Wang2, Deyong Long2
1Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Summary
A new Hausdorff distance (HD) method offers automatic and accurate registration for electro-anatomical maps (EAM) and CT surfaces, improving catheter navigation in atrial fibrillation ablations.
Area of Science:
- Medical imaging
- Computational geometry
- Cardiac electrophysiology
Background:
- Electro-anatomical maps (EAM) and CT surface registration are crucial for catheter navigation during atrial fibrillation ablations.
- Existing registration algorithms often lack full automation or sufficient accuracy for clinical use.
- A need exists for a registration method that is both automatic and precise.
Purpose of the Study:
- To develop and evaluate an automatic and accurate registration method for EAM and CT surfaces.
- To address limitations of current semi-automatic and inaccurate registration techniques.
Main Methods:
- A novel Hausdorff distance (HD) based approach was proposed for EAM/CT registration.
- Coarse alignment was achieved using principal axes-based registration.
- Fine alignment utilized Hausdorff distance as the objective function.
Main Results:
- The HD method was compared against Carto-Merge and a stochastic approach (SA) using real and simulated EAM/CT pairs.
- HD demonstrated superior performance in terms of accuracy, operability, and robustness.
- HD achieved the best registration results among the evaluated methods.
Conclusions:
- The proposed Hausdorff distance-based method provides automatic and accurate registration of EAM and CT surfaces.
- This advancement has the potential to enhance catheter navigation in atrial fibrillation ablation procedures.