Echo planar imaging (EPI) is one of the fastest MRI pulse sequences that can acquire whole k-space data during a single excitation. In EPI, partial acquisition can be used for reducing the TR and the effective TE can be further reduced as the portion of the acquired k-space is reduced. However, the quality of the image decreases drastically as the acquired k-space portion is reduced. In this study, we proposed a solution for image reconstruction from partially acquired EPI based on a deep-learning based direct mapping method, where the images are directly reconstructed from input k-space data.
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