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Abstract #4506

Evaluation of the Uniform Combined Reconstruction (UNICORN) Algorithm for Improving 7T Knee MRI Uniformity

Venkata Veerendranadh Chebrolu1, Peter Kollasch1, Vibhas Deshpande2, John Grinstead3, Benjamin Howe4, Matthew Frick4, Andrew J. Fagan4, Thomas Benner 5, Robin M. Heidemann 5, Joel Felmlee 4, and Kimberly K Amrami4

1Siemens Healthineers, Rochester, MN, United States, 2Siemens Healthineers, Austin, TX, United States, 3Siemens Healthineers, Portland, OR, United States, 4Department of Radiology, Mayo Clinic, Rochester, MN, United States, 5Siemens Healthineers, Erlangen, Germany

MR image intensity non-uniformity is often observed at 7T. A novel algorithm termed ‘Uniform Combined Reconstruction’ (UNICORN) was developed recently to correct for intensity non-uniformity in MR images without the use of a calibration/reference scan. In this work, 3 fellowship trained musculoskeletal radiologists with cumulative experience of 42 years evaluated the efficacy of UNICORN in 33 7T musculoskeletal MRI volumes. The uniformity, contrast, signal-to-noise-ratio and overall image quality were evaluated. Without the use of a reference scan, UNICORN was rated to provide better image uniformity, contrast and overall image quality than the N4 bias-field correction algorithm at 7T.

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