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Abstract #0780

A level-set reformulated as deep recurrent network for left/right ventricle segmentation on cardiac cine MRI

Fan Huang1, Vince Varut Vardhanabhuti1, Pek-Lan Khong1, Ming-Yen NG1, and Peng Cao1
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong

We proposed a segmentation method, which is based on a level-set reformulated via a deep recurrent network (RLSNet). This network takes the advantage of U-Net in terms of medical pattern recognition and level-set algorithm in terms of keeping the enclosed and smooth shape of the segmentation contour. We evaluate the network by the segmentation of the left and right ventricles of the heart on cardiac cine Magnetic Resonance Images, which gives greater performance than using U-Net only.

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