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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