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Abstract #4908

Image Reconstruction from Phased-Array Mri Data Based on Multichannel Blind Deconvolution

Huajun She1, RongRong Chen1, Dong Liang2, Yuchou Chang2, Leslie Ying2

1Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States; 2Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

In this abstract we consider image reconstruction from multichannel phased array MRI data without prior knowledge of the coil sensitivity functions. A new framework based on multichannel blind deconvolution (MBD) is developed for joint estimation of the image function and the sensitivity functions in k-space. By exploiting the smoothness of the image and sensitivity functions in the spatial domain, we develop a regularized MBD method to obtain both the image function and sensitivity functions. Simulation and in vivo experimental results demonstrate that the proposed method reconstructs images with more uniform intensity than the SoS method does.