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Abstract #1571

K-t PCA GROWL: Sequential Combination of Partially Parallel Imaging and K-t PCA

Haikun Qi 1 , Feng Huang 2 , Xiaoying Cai 1 , Dan Zhu 1 , Feiyu Chen 1 , Chun Yuan 1,3 , and Huijun Chen 1

1 Center for Biomedical Imaging Research, Tsinghua University, Beijing, Beijing, China, 2 Philips Healthcare, Florida, United States, 3 Department of radiology, University of Washington, Seattle, WA, United States

When multichannel coil is used for data acquisition, partially parallel imaging can be combined with k-t PCA to improve reconstruction accuracy. In this study, a sequential combination of partially parallel imaging and k-t PCA, which is called k-t PCA GROWL (GRAPPA Operator for Wider readout Line) is proposed. Compared with k-t PCA and k-t PCA/SNESE on artificially undersampled cardiac cine data, the proposed method resulted in the lowest error level. K-t PCA GROWL is a more efficient and more accurate scheme to combine k-t PCA and parallel imaging, and is promising in high spatiotemporal resolution dynamic MRI.

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