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Abstract #2715

Anisotropic Kernel Support for Improved Fast GRAPPA Imaging

Jun Miao1, Wilbur C. K. Wong2, David L. Wilson1,3

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; 2Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong; 3Radiology, University Hospitals of CLeveland, Cleveland, OH, USA

In Parallel MR k-space reconstruction, very commonly an isotropically shaped kernel is used. However, there is anisotropy in k-space due to inhomogeneous coil sensitivities or anisotropic imaged objects. We propose a method to determine anisotropy in k-space, and use it for GRAPPA kernel design. Experimental results show that GRAPPA with anisotropic kernel support can significantly improve reconstruction image quality, particularly in highly accelerated data sets.