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Abstract #2799

Deep Sinogram Learning for Radial MRI: Comparison with k-space and Image Learning

Taeseong Kim1, Taejoon Eo1, Doohyun Park1, Yohan Jun1,2, and Dosik Hwang1

1Yonsei University, Seoul, Republic of Korea, 2Philips Korea, Seoul, Republic of Korea

Deep Sinogram Learning for Radial MRI: Comparison with k-space- and image learning. We demonstrated that singoram learning was more effective than k-space- or image learning in terms of restoring tissue structures and removal of streaking artifacts while not making those as real structures.

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