Zhang, Chi (author), Hosseini, Seyed Amir Hossein (author), Weingärtner, S.D. (author), Uǧurbil, Kâmil (author), Moeller, Steen (author), Akçakaya, Mehmet (author) Background Robust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently proposed deep-learning-based reconstruction algorithm for parallel imaging. Its main premise is to perform k-space interpolation using convolutional neural networks (CNNs) trained on subject-specific autocalibration signal (ACS) data. Since training is...
journal article 2019