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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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