Installing cuDIMOT:

You can download individually cuDIMOT NODDI_Watson binaries and scripts:

• Create a directory for storing CUDIMOT binary files and set CUDIMOT variable with that path:
  For instance: export CUDIMOT=/home/moises/CUDIMOT
• Download the correct NODDI_Watson file for your CUDA version
• Unzip NODDI_Watson file
• Copy all the uncompressed files from NODDI_Watson/bin/* directory to your $CUDIMOT/bin/* directory
• To fit the model use:
  $CUDIMOT/bin/Pipeline_NODDI_Watson.sh [SubjectDirectory]

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• The pipeline uses SGE for sending jobs to a GPU queue (name of queue can be redefined in FSLGECUDAQ environment variable).
• If you want to run the tool without using SGE, the environment variable SGE_ROOT should be unset: unset SGE_ROOT
• If you have several GPUs, you can use the option -NJOBS X to create X different GPUs jobs, each one for processing a subpart of the dataset (this option can process the dataset very fast)
• Requirements: NVIDIA GPU compute capability >= 3.0

FILES

• cudimot NODDI_Watson for CUDA 9.1
• cudimot NODDI_Watson for CUDA 10.0
• cudimot NODDI_Watson for CUDA 10.1
• cudimot NODDI_Watson for CUDA 10.2

You can also download cuDIMOT NODDI_Bingham binaries and scripts:

• Please follow the same steps as for NODDI_Watson, but using NODDI_Bingham files
  
• To fit the model use:
  $CUDIMOT/bin/Pipeline_NODDI_Bingham.sh [SubjectDirectory]

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FILES

• cudimot NODDI_Bingham for CUDA 9.1
• cudimot NODDI_Bingham for CUDA 10.0
• cudimot NODDI_Bingham for CUDA 10.1
• cudimot NODDI_Bingham for CUDA 10.2

CITATION