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List of Output Files

The number of output files generated by PyDesigner may seem very daunting at first. However, once a certain level of familiarity is achieved, it becomes very easy.

There are generally three types of outputs:

1. Preocessing files: files used in preprocessing; stored in root output directory 2. Metric files: DTI/DKI parameters maps, stored in /metrics folder 3. QC Metrics: files that enable data quality control; stored in /metrics_qc

The list of ever possible output file is given in the table below.

Filename Description
Root Directory
B0.nii mean b0 image extracted from processed DWI (exists only if--mask is used)
brain_mask.nii brain mask extracted from B0.nii (exists only if --mask is used)
dwi_preprocessed.nii fully preprocessed DWI NifTi file
dwi_preprocessed.bval fully preprocessed DWI's BVAL file in FSL format
dwi_preprocessed.bvec fully preprocessed DWI's BVEC file in FSL format
dwi_preprocessed.json fully preprocessed DWI's BIDS sidecar
dwi_raw.nii raw DWI NifTi file before preprocessing
dwi_raw.bval raw DWI's BVAL file in FSL format
dwi_raw.bvec raw DWI's BVEC file in FSL format
dwi_raw.json raw DWI's BIDS sidecar
noisemap.nii noisemap NifTi file produced from denoising (exists only if --denoise is used)
working.mif MRtrix3 file formatted DWI that is being preprocessed
log_command.json history of preprocessing steps and commands run of DWI
QC Metrics :code:`root_dir/metric s_qc`
head_motion.png estimated head motion plotted from displacement field computed by EPI and eddy current correction (exists if --undistort is used)
outliers plot of percentage outliers detected by IRLLS outlier detection
SNR.png snr plots of dwi_raw.nii and dwi_preprocessed.nii
/fitting/outliers_akc.nii outliers detected by brute forced kurtosis tensor outlier rejection algorithm (3d nifti)
/fitting/outliers_irlls.nii outliers voxels detected by irlls outlier detection (4d nifti)
/eddy all outputs of the eddy correction (exists if --undistort is used)
DTI/DKI Metrics :code:`root_dir/m etrics`
:code:dti_ad.nii axial diffusivity map (3d nifti)
dti_rd.nii radial diffusivity map (3d nifti)
dti_md.nii mean diffusivity map (3d nifti)
dti_fa.nii fractional anisotropy map (3d nifti)
dti_fe.nii first eigenvalues; represents the principal direction of water (4d nifti)
dti_trace.nii sum of diagnols of in diffusion tensor (3d nifti); the mean diffusivity (MD) is three times the trace [MD 3 * trace ]
dki_ak.nii axial kurtosis map (3 nifti)
dki_rk.nii radial kurtosis map (3d nifti)
dki_mk.nii mean kurtosis map (3d nifti)
dki_kfa.nii kurtosis fractional anisotropy map (3d nifti)
dki_mkt.nii mean kurtosis tensor (3d nifti); alternative calculation for mean kurtosis
DT.nii diffusion tensor (4d nifti; 6 three-dimensional volumes)
KT.nii kurtosis tensor (4d nifti; 15 three dimensional volumes)
FBI/FBWM Metrics :code:`root_dir/ metrics`
fbi_zeta.nii zeta (3d nifti)
fbi_faa.nii axonal fractional anisotropy (3d nifti)
fbi_fodf.nii FBI fODFs from spherical harmonic expansion (4d nifti)
fbi_tractography_dsi.fib FBI fODFs prepared for DSI Studio's tractography (fib)
fbwm_awf.nii axonal water fraction (3d nifti)
fbwm_Da.nii intra-axonal diffusivity (3d nifti)
fbwm_De_ax.nii axial extra-axonal diffusivity (3d nifti)
fbwm_De_rad.nii radial extra-axonal diffusivity (3d nifti)
fbwm_De_mean.nii mean radial extra-axonal diffusivity (3d nifti)
fbwm_fae.nii extra-axonal fractional anisotropy (3d nifti)
fbwm_minCost.nii minimum cost computed by cost function (3d nifti)
fbwm_minCost.nii all costs computed by cost function (4d nifti; 100 three dimensional volumes)
WMTI Metrics :code:`root_dir/metr ics`
wmti_awf.nii axonal water fraction (3d nifti)
wmti_eas_ad.nii extra-axonal axial diffusivity (3d nifti)
wmti_eas_rd.nii extra-axonal radial diffusivity (3d nifti)
wmti_eas_tort.nii extra-axonal tortuosity (3d nifti)
wmti_ias_da.nii intra-axonal intrinsic diffusivity (3d nifti)

All other files in folder /intermediate_nifti are used by PyDesigner for preprocessing flow control, especially to allow --resume or --force flags to work as intended.