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

Keywords

achieved acquisition additive adjacent adjusting affected analyses analytical anatomy applied array attributed automatic background basis bias binary blocks brain building calculation canny closely coefficients coils compiler components concern conditions constitute constraint contrast core corrected correction cost degree denote derivatives detecting developed discrete dismissed distortions edge edges electromagnetic especially evaluating expressed facto field fields finally fist fitting fully functional general gradient gray henry homogeneous identified implementation implemented inefficient inhomogeneities inhomogeneity inhomogeneous intensity inversion issue keeping least linear literature local logarithm lowest manifested marked mass maximal measure medical mobile multichannel multiplicative next noise nonparametric normalization object optimization optimize original overall parallelized parametric part partial performance plus polynomial polynomials preconditioned processors promising rapid realistic receive remaining repetition samples scalar scale scanned schemes search sections seeds segmentation shading shim shimming since smooth smoothing software solutions solved spatial squares still strength surfaces system table thick threading tissue trivially underlying uniformity unmarked varying verified view volume white