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
The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK, see the Toolkit Features for details. It recently got an extension for CEST analysis MITK CEST:
find the CEST data processing tool of the John Hopkins group here