Meeting Banner
Abstract #4664

Fast estimation of GRAPPA kernel using Meta-learning

Dongwook Lee1 and Jong Chul Ye1

1Bio and Brain Eng., KAIST, Daejeon, Korea, Republic of

This paper proposes an accelerated MR reconstruction method for parallel imaging from uniformly undersampled k-space data by learning scan-specific GRAPPA kernel using the long short-term memory network (LSTM). In particular, the meta-leaner LSTM is redesigned to quickly estimate the GRAPPA kernel for each k-space from its auto-calibration signals (ACS). The proposed method shows improved reconstruction performance with minimum error.

This abstract and the presentation materials are available to members only; a login is required.

Join Here