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Abstract #2627

Rapid automatic segmentation of enhanced tissue in LGE MRI of long-standing persistent atrial fibrillation

Archontis Giannakidis 1,2 , Shouvik Haldar 1 , Eva Nyktari 1 , Jennifer Keegan 1,2 , Irina Suman Horduna 1 , Dudley J. Pennell 1,2 , Raad Mohiaddin 1,2 , Tom Wong 1 , and David N. Firmin 1,2

1 NIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom, 2 National Heart Lung Institute, Imperial College London, London, United Kingdom

No algorithm has been deemed better than others for segmenting enhancement in late gadolinium enhancement magnetic resonance imaging of atrial fibrillation (AF). We propose a robust -though simple- method to classify enhanced tissue in AF patients studied at out center. We demonstrate the technique's potential for utility in clinical AF studies, and compare it with other related approaches.

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