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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