脑干 fMRI 采集和重建matlab代码.rar

# Design CAIPI sampling pattern and write to .mat file Python code for designing Cartesian ky-kz undersampling following the CAIPI pattern. The sampling pattern is written to a .mat file. See https://github.com/mrphysics-bonn/skipped-caipi. ## Usage example Design CAIPI pattern suitable for SMS fMRI, with the following parameters: ny = 64 (y matrix size) nz = 6 (z matrix size) Ry = 1 Rz = 6 (multiband factor) Dz = 2 (CAIPI shift along z) S = 1 (segmentation factor) From linux command line: ``` $ python skippedcaipi_sampling.py 64 6 1 6 2 1 ``` This creates the file `caipi.mat` that can be loaded into MATLAB. ``` caipi.mat: indices [64 2] sampling indeces for one shot mask [64 6] sampling pattern ``` ## Run test Generate CAIPI pattern and plot. To run from Linux command line: ``` $ python caipitest.py ``` From Python prompt (REPL): ``` >>> import caipitest >>> # To run again in the same session: >>> import importlib >>> importlib.reload(caipitest) ```