A challenge in water-fat imaging is robust separation of the water and fat components. In this work, we propose a method that performs a series of dual-echo reconstructions using different pairs of echoes. The estimates from the multiple reconstructions are then combined to generate a more robust initial estimate of the water and fat images. The final estimates are then calculated via voxel-wise minimization. The proposed multiple dual-echo method demonstrates an improvement to single dual-echo reconstruction for water-fat imaging.