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This tool allows you to evaluate CEST MRI data and create CEST images and ROI evaluations from basic contrasts as well as sophisticated multi-Lorentzian fits
Dowload zipped Matlab implementations here or find the package on https://github.com/cest-sources/CEST_EVAL/
These routines allow you to
MTRRex,AREX: Zaiss et al. NMR Biomed., 27: 240–252. doi: 10.1002/nbm.3054.
Fitting: Windschuh et al. (2015), NMR Biomed., 28(5):529-37. doi: 10.1002/nbm.3283.
WASABI B1/B0 mapping and correction: Schuenke et al. (2016), MRM doi: 10.1002/mrm.26133.
There are 4 important inputs:
further we need the frequency offset axis, or the omega-axis (w-axis) of the Z-spectrum. It is saved in the parameter struct P under the sequence parameters P.SEQ
To calculate the internal B0 map the function MINFIND_SPLINE_3D is called after that the B0-correction and normalization can be performed and the final stack is
find the CEST data processing tool of the John Hopkins group here http://godzilla.kennedykrieger.org/CEST/