Abstract #4354
Free-Breathing T2 weighted liver Imaging using Retrospective Motion Compensation
Shujing Cao 1 , Feng Huang 2 , Bida Zhang 3 , and Rui Li 1
1
Center for Biomedical Imaging Research,
School of Medicine, Tsinghua University, Beijing,
Beijing, China,
2
Philips
Healthcare, Gainesville, FL, United States,
3
Philips
Research China, Beijing, China
An effective retrospective motion compensation method
using iterative k-space convolution and selective coil
combination was proposed for free breathing T2 weighted
liver imaging without acquisition interruption. By
iteratively implementing the GRAPPA like k-space
convolution with gradually improved convolution kernel,
widespread respiration motion induced errors can be
sufficiently dispersed and cancelled out. Convergence of
the designed image index was adopted to adaptively
terminate the iteration. Meanwhile data from coil
elements with low sensitivity to motion was selectively
kept during iteration to preserve the signal noise ratio
(SNR). In-vivo studies demonstrated its robustness in
artifact reduction.
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