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Abstract #2609

Uniform Combined Reconstruction for Improving Receive Intensity Homogeneity of N-dimensional 7T MRI

Venkata Veerendranadh Chebrolu1, Xiaodong Zhong2, Patrick Liebig3, and Robin Heidemann3
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany

Uniform combined reconstruction (UNICORN) was recently proposed and used to improve receive uniformity of 7T musculoskeletal and brain MRI data from two-dimensional (2D) sequences. In this work, we extend the UNICORN algorithm to improve receive uniformity of two-, three-, or more-dimensional (N-dimensional or ND) MRI. We also demonstrate UNICORN results using L1-based (computationally efficient compared to singular value decomposition or SVD) optimal combination of the multi-channel data and compare the results with the previously used SVD-based combination.

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