Free-breathing 3D abdominal imaging is a challenging task for MRI since respiratory motion severely degrades image quality.Our purpose is to develop a novel reconstruction approach for highly accelerated free-breathing 3D abdominal images with stacked convolutional auto-encoders. The whole structure of our proposed method consists of 9 hidden layers except to input and output layer.The proposed method achieves similar quality to the whole sampling reconstruction with non-significant differences for structural similarity index measure (SSIM) (0.99 and 1.00, respectively). Moreover, the average reconstruction time is very short (about 0.25 s/image). Therefore, our method should be employed for a wide range of clinical applications.
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