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Abstract #2000

Qualitative and Quantitative Evaluation of Uniform Combined Reconstruction (UNICORN) for Improving Intensity Uniformity in 7T-MRI of the Brain

Venkata Veerendranadh Chebrolu1,2, Ravi Seethamraju3, Eric G Stinson1,2, Georgeta Mihai 4, Vera Kimbrell 4, and Srinivasan Mukundan, Jr.4
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Siemens Medical Solutions USA, Inc., Boston, MA, United States, 4Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States

Receive non-uniformity is one of the challenges that impacts 7T MRI and should be addressed for improved interpretation of brain images. Furthermore, segmentation algorithms that perform volumetric analysis of brain structures often require uniform signal intensity throughout the brain volume to function effectively. Uniform combined reconstruction (UNICORN) was recently reported as a method to improve receive uniformity in 7T musculoskeletal MRI; however, it has not yet been applied to brain imaging. The purpose of this work is to apply UNICORN to brain imaging and quantitatively evaluate its efficacy in improving intensity uniformity in 7T-MRI of the brain.

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