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