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|| -prep || Process steps 1.1 -1.6 (see below) ||
|| -bedp || Process step 2 ||
|| -path || Process step 3 ||
|| -prep || (Preprocessing) Process steps 1.1 -1.6 (see below) ||
|| -bedp || (Bedpost) Process step 2 ||
|| -path || (Pathway Reconstruction/Tractography) Process step 3 ||
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==== Preprocessing === ==== prep ====
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==== Bedpost ==== ==== bedp ====
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==== Path ==== ==== path ====

trac-all

Index

Name

trac-all : Performs reconstruction of white matter pathways using an atlas of underlying anatomy

Usage

trac-all

-[Directive] -c <Configuration File> (Using Configuration File to set analysis options)

trac-all

-[Directive] -subject subjectname -i dicomfile

Arguments

Required Arguments

-subject subjid

the subject data upon which to operate (If not specified in the Configuration File)

-[Directive]

one or more directives (see next)

Optional Arguments

-c dmrirc

Configuration File to set analysis options

Fully-Automated Directive

-all

do everything, including preprocessing, bedpostx and pathway reconstruction

Manual-Intervention Workflow Directives

-prep

(Preprocessing) Process steps 1.1 -1.6 (see below)

-bedp

(Bedpost) Process step 2

-path

(Pathway Reconstruction/Tractography) Process step 3

Processing Stages

prep

1.1 Image corrections - Eddy current correction with eddy_correct, B0 field map correction with epidewarp.fsl.

-corr

to do this step (Default)

-nocorr

to skip this step

1.2 Intra-Subject Registration - Diffusion-to-T1 registration with flirt and/or bbregister.

-intra

to do this step (Default)

-nointra

to skip this step

1.3 Inter-Subject Registration - T1-to-template registration using MNI and/or CVS templates.

-inter

to do this step (Default)

-nointer

to skip this step

1.4 White-matter, cortical and whole-brain masks - Generate masks of the white matter and cortex from FreeSurfer outputs, whole-brain masks from T1 and DWIs.

-masks

to do this step (Default)

-nomasks

to skip this step

1.5 Tensor fit - Tensor model fitting on DWIs.

-tensor

to do this step (Default)

-notensor

to skip this step

1.6 Pathway priors from atlas to T1 - Combine training data and subject's own data to generate pathway priors.

-prior

to do this step (Default)

-noprior

to skip this step

bedp

2. Stick and ball model fitting with bedpost (Cluster highly recommended for this step)

path

3. Pathway reconstruction - Perform tractography for a single subject

trac-all (last edited 2021-12-08 16:06:06 by AnastasiaYendiki)