MULTI_SHELL_Estimate
MULTI_SHELL Estimate
- Command:
dmriprep- Module version:
0.1
- Module type:
prep- Attributes:
utility,identity- Notes:
- Source:
dtiplayground/dmri/preprocessing/modules/MULTI_SHELL_Estimate
Global variables
Values this module shares with the other modules of the pipeline (dmriprep run -g <name>=<value> sets one).
dti_path
Protocol options
toolTools to estimate multi-shell models (dipy / AMICO NODDI / mrtrix3)
- Type:
list- Default:
dipy- Choices:
dipy– Use DIPY libraryamico– NODDI model of AMICO (NDI, ODI, FWF)mrtrix3– mrtrix3 dwi2adc (S0, ADC)
modelModel
- Type:
list- Default:
dti- Used when:
toolisdipy- Choices:
dti– Diffusion Tensordki– Diffusion Kurtosis (tensor, FA/MD/AD/RD, MK/AK/RK/MKT/KFA, kurtosis tensor)msdki– Mean Signal Diffusion Kurtosis (MSD, MSK)fwdti– Free Water Elimination Diffusionivim– Intravoxel Incoherent Motion
optimizationMethod_dtiOptimizaition Method
- Type:
list- Default:
wls- Used when:
modelisdti,toolisdipy,amico- Choices:
wls– Weighted Least Squareslls– Linear Least Squaresnls– Non-Linear Least Squaresols– Ordinary Least Squaresrestore– RESTORE
optimizationMethod_fwdtiOptimization Method
- Type:
list- Default:
nls- Used when:
modelisfwdti,toolisdipy- Choices:
wls– Weighted Least Squaresnls– Non-linear Least Square
optimizationMethod_dkiOptimization Method
- Type:
list- Default:
wls- Used when:
modelisdki,msdki,toolisdipy- Choices:
wls– Weighted Least Squaresols– Ordinary Least Squaresnls– Non-linear Least Square
split_b_DThe b-value to split the data on for two-stage fit. This will be used while estimating the value of D
- Type:
float- Default:
400- Used when:
modelisivim,toolisdipy
split_b_S0The b-value to split the data on for two-stage fit. This will be used while estimating the value of S0
- Type:
float- Default:
200- Used when:
modelisivim,toolisdipy
maskPathBrain mask (NRRD or NIfTI); if empty, the mask of BRAIN_Mask is used, else the whole image
- Type:
filepath-remote- Default:
not set
- Used when:
toolisdipy,amico