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BarcelonaBeta + XNAT = bx

Project description

bx

pipeline status coverage report downloads python versions pypi version

BarcelonaBeta + XNAT = BX

The interested reader may find a description of bx in its native ecosystem in J. Huguet et al., Frontiers in Neuroscience (2021) (doi:10.3389/fnins.2021.633438).

Example:

example

Usage

bx <command> <subcommand> <resource_id> --config /path/to/.xnat.cfg --dest /tmp

resource_id may be a reference to a whole XNAT project, some specific imaging session (as found in the table returned by bx id PROJECT_ID) or a 'list' of sessions (a list of existing lists may be obtained by bx lists show).

ANTS:

ANTS - Advanced Normalization Tools

Available subcommands:
 `files`:           download all `ANTS` outputs
 `snapshot`:        download a snapshot from the `ANTS` pipeline
 `report`:          download the validation report issued by `ANTSValidator`
 `tests`:           creates an Excel table with all automatic tests outcomes from `ANTSValidator`

Usage:
 bx ants <subcommand> <resource_id>

ARCHIVING:

Archiving - used to collect automatic tests from ArchivingValidator

Available subcommands:
 `tests`:           creates an Excel table with all automatic tests outcomes from `ArchivingValidator`

Usage:
 bx archiving <subcommand> <resource_id>

ASHS:

ASHS (Hippocampal subfield segmentation)

Available subcommands:
 `files`:           download all `ASHS` outputs (segmentation maps, volumes, everything...)
 `volumes`:         creates an Excel table with all hippocampal subfield volumes
 `snapshot`:        download a snapshot from the `ASHS` pipeline
 `report`:          download the validation report issued by `ASHSValidator`
 `tests`:           creates an Excel table with all automatic tests outcomes from `ASHSValidator`

Usage:
 bx ashs <subcommand> <resource_id>

BAMOS:

BAMOS (Bayesian MOdel Selection for white matter lesion segmentation)

Available subcommands:
 `files`:           download all `BAMOS` outputs
 `volumes`:         create an Excel table with global lesion volumes
 `layers`:          download `layer` (i.e. depth) maps
 `lobes`:           download lobar segmentation maps
 `stats`:           create an Excel table with lesions stats per lobe and depth
 `snapshot`:        download a snapshot from the `BAMOS` pipeline
 `report`:          download the validation report issued by `BAMOSValidator`

Usage:
 bx bamos <subcommand> <resource_id>

References:
- Sudre et al., IEEE TMI, 2015

BRAAK:

Extract morphometric/metabolic measurements based on Braak staging.

Morphometric values are based on regional volumes or cortical thickness
as estimated individually by FreeSurfer with respect to each specific stage
 (namely, Braak_I_II, Braak_III_IV and Braak_V_VI). For each of them, the
mean value in all the regions related to the specific stage is returned.

Metabolic data refer to FDG update associated with each stage as defined
by their corresponding ROIs. Masks of each stage were defined based on the
CerebrA atlas (Manera et al.).

Available subcommands:
 `volumes`:         creates an Excel table with regional volumes for each stage
 `thickness`:       creates an Excel table with cortical thickness for each stage
 `fdg`:             creates an Excel table with the FDG uptake for each stage

Usage:
 bx braak <subcommand> <resource_id>

References:
- Braak et al., Acta Neuropathol. 2006
- Schöll et al., Neuron. 2016
- Manera et al.,  Scientific Data. 2020

CAT12:

CAT12 - Gray/white matter segmentation

Available subcommands:
 `files`:           download all `CAT12` outputs (segmentation maps, warp fields, everything...)
 `volumes`:         creates an Excel table with GM/WM/CSF volumes
 `snapshot`:        download a snapshot from the segmentation results
 `report`:          download the validation report issued by `CAT12Validator`
 `tests`:           creates an Excel table with all automatic tests outcomes from `CAT12Validator`

Usage:
 bx cat12 <subcommand> <resource_id>

DONSURF:

DONSURF - Diffusion ON SURFace

Available subcommands:
 `files`:           download all `recon-all` outputs (segmentation maps, files, everything...)
 `aparc`:           create an Excel table with all `aparc` measurements
 `snapshot`:        download a snapshot from the `recon-all` pipeline
 `report`:          download the validation report issued by bbrc-validator
 `tests`:           create an Excel table with all automatic tests outcomes from bbrc-validator

Usage:
 bx donsurf <subcommand> <resource_id>

DTIFIT:

Processing of Diffusion-weighted Imaging data

Available subcommands:
`maps`:             download parametric maps (FA, MD, AxD, RD)
`files`:            download all outputs from the `DTIFIT` pipeline (up to parametric maps)
`report`:           download the validation report issued by `DTIFITValidator`
`snapshot`:         download a snapshot with FA map, RGB tensor and TOPUP distortion correction map

Usage:
 bx dtifit <subcommand> <resource_id>

FREESURFER6:

FreeSurfer v6.0.0

Available subcommands:
 `files`:           download all `recon-all` outputs (segmentation maps, files, everything...)
 `aseg`:            create an Excel table with all `aseg` measurements
 `aparc`:           create an Excel table with all `aparc` measurements
 `hippoSfVolumes`:  save an Excel table with hippocampal subfield volumes (if available)
 `snapshot`:        download a snapshot from the `recon-all` pipeline
 `report`:          download the validation report issued by bbrc-validator
 `tests`:           create an Excel table with all automatic tests outcomes from bbrc-validator

Usage:
 bx freesurfer6 <subcommand> <resource_id>

FREESURFER6HIRES:

FreeSurfer v6.0.0 (-hires option)

Available subcommands:
 `files`:           download all `recon-all` outputs (segmentation maps, files, everything...)
 `aseg`:            create an Excel table with all `aseg` measurements
 `aparc`:           create an Excel table with all `aparc` measurements
 `hippoSfVolumes`:  save an Excel table with hippocampal subfield volumes (if available)
 `snapshot`:        download a snapshot from the `recon-all` pipeline
 `report`:          download the validation report issued by bbrc-validator
 `tests`:           create an Excel table with all automatic tests outcomes from bbrc-validator

Usage:
 bx freesurfer6hires <subcommand> <resource_id>

FREESURFER7:

FreeSurfer v7.1.1

Available subcommands:
 `files`:           download all `recon-all` outputs (segmentation maps, files, everything...)
 `aseg`:            create an Excel table with all `aseg` measurements
 `aparc`:           create an Excel table with all `aparc` measurements
 `hippoSfVolumes`:  save an Excel table with hippocampal subfield volumes (if available)
 `snapshot`:        download a snapshot from the `recon-all` pipeline
 `report`:          download the validation report issued by bbrc-validator
 `tests`:           create an Excel table with all automatic tests outcomes from bbrc-validator

Usage:
 bx freesurfer7 <subcommand> <resource_id>

ID:

Return generic information like subject/session labels, parent project.

Usage:
 bx id <resource_id>

LISTS:

Manage experiment lists curated by BarcelonaBeta.

Available subcommands:
 `show`:            display all existing lists (usage: bx lists show)

Usage:
 bx lists <subcommand>

NIFTI:

Download NIfTI images from a given sequence (SeriesDesc).

Available subcommands:
 `usable`:          download `usable` images (default)
 `all`:             download all images found
User is then asked for sequence name (ex: T1, T2, DWI). Has to match with
the one in XNAT (wildcards accepted).

Usage:
 bx nifti <subcommand> <resource_id>

FDG:

18F-fluorodeoxyglucose PET imaging data

Available subcommands:
 `landau`:          creates an Excel table with the Landau's metaROI signature
 `maps`:            download the normalized FDG maps
 `tests`:           collect all automatic tests outcomes from `FDGQuantiticationValidator`

Usage:
 bx fdg <subcommand> <resource_id>

Reference:
- Landau et al., Ann Neurol., 2012

FTM:

18F-flutemetamol PET imaging data

Available subcommands:
 `centiloids`:      creates an Excel table with centiloid scales
 `maps`:            download the normalized FTM maps
 `tests`:           collect all automatic tests outcomes from `FTMQuantiticationValidator`

Usage:
 bx ftm <subcommand> <resource_id>

References:
 - Klunk et al, Alzheimers Dement., 2015

SCANDATES:

Collect acquisition dates from imaging sessions.

Usage:
 bx scandates <resource_id>

SIGNATURE:

Download composite measurements labeled as 'signatures' of Alzheimer's Disease

Available subcommands:
 `jack`:            based on FreeSurfer's cortical thickness and local cortical gray matter volumes
 `dickerson`:       based on Dickerson's cortical signatures (see references below)

Usage:
 bx signature <subcommand> <resource_id>

Jack's AD signature is calculated in two versions,
weighted and not weighted. Weighted means that the formula has been
applied by normalizing each ROI value by local surface area (as explained
in the papers).
Not-weighted versions correspond to mean values across regions.

Examples:

`bx signature jack` will return Jack's signature, based on thickness and grayvol values.
`bx signature dickerson` will return AD and aging signatures, based only on
thickness values as they do not have any "grayvol" version.

References:
- Jack et al., Alzheimers Dement. 2017
- Dickerson et al., Neurology, 2011
- Bakkour et al., NeuroImage, 2013

SPM12:

SPM12 - Gray/white matter segmentation

Available subcommands:
 `files`:           download all `SPM12` outputs (segmentation maps, warp fields, everything...)
 `volumes`:         creates an Excel table with GM/WM/CSF volumes
 `snapshot`:        download a snapshot from the segmentation results
 `report`:          download the validation report issued by `SPM12Validator`
 `tests`:           creates an Excel table with all automatic tests outcomes from `SPM12`
 `rc`:              downloads rc* files (DARTEL imports)

Usage:
 bx spm12 <subcommand> <resource_id>

Dependencies

Requires bbrc-pyxnat>=1.4.2 and the librairies listed in requirements.txt.

Install

pip install bbrc-bx

Development

Please contact us for details on how to contribute.

BarcelonaBeta

Project details


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