  This paper presents a fully automated method to segment the complex left
atrial (LA) cavity, from 3D Gadolinium-enhanced magnetic resonance imaging
(GE-MRI) scans. The proposed method consists of four steps: (1) preprocessing
to convert the original GE-MRI to a probability map, (2) atlas selection to
match the atlases to the target image, (3) multi-atlas registration and fusion,
and (4) level-set refinement. The method was evaluated on the datasets provided
by the MICCAI 2018 STACOM Challenge with 100 dataset for training. Compared to
manual annotation, the proposed method achieved an average Dice overlap index
of 0.88.
