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Abstract #0851

A deep learning based direct mapping method for EPI image reconstruction

Changheun Oh1, Sung Suk Oh2, Jun-Young Chung1, and Yeji Han1
1Gachon University, Incheon, Korea, Republic of, 2Daegu Gyeongbuk Medical Innovation Foundation, Daegu, Korea, Republic of


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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