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Abstract #2695

Non-Uniformity Normalization Using 3D Canny Edges and Legendre Polynomial Approximation of the Bias Field: Validation on 7T T1W Brain Images

Artem V. Mikheev1, Henry Rusinek1, Graham Wiggins1

1Radiology, NYU Langone Medical Center, New York, NY, United States

MR signal intensity, especially at high field strength, is affected by inhomogeneity, or shading artifacts, manifested as a smooth spatially varying signal intensity distortions. Correction of this effect is the key to successful implementation of all MR image analyses, including segmentation, registration and functional modeling of dynamic data. We have developed a new method BiCal (Bias Calculation) for non-uniformity correction that uses 3D Canny Edge detection and 3D Legendre polynomials to represent the bias field.