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b1-correction [2020/06/15 11:53] |
b1-correction [2021/10/11 13:22] (current) |
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+ | ====== Correction of B1 inhomogeneity artifacts in CEST images ====== | ||
+ | {{ : | ||
+ | Here you find a B1-correction algorithm as published in **Windschuh et al. (2015), NMR Biomed., 28(5): | ||
+ | |||
+ | Dowload zipped Matlab implementations [[https:// | ||
+ | |||
+ | ====== | ||
+ | There are two functions, **Z_B1_correction** and **contrast_B1_correction**, | ||
+ | |||
+ | <code matlab> | ||
+ | function [Z_stack_corr] = Z_B1_correction(Z_stack, | ||
+ | % [Z_stack_corr] = Z_B1_correction(Z_stack, | ||
+ | % output: B1 corrected Z-stack (5D-stack) | ||
+ | % input: | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % for correction | ||
+ | % | ||
+ | </ | ||
+ | |||
+ | <code matlab> | ||
+ | function [corr_img]=contrast_B1_correction(img, | ||
+ | % [corr_img]=contrast_B1_correction(img, | ||
+ | % output: B1 corrected images (2D or 3D-stack) (x,y,B1) | ||
+ | % input: | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % | ||
+ | % for correction | ||
+ | </ | ||
+ | {{ : | ||