Diffusion model

Computes a diffusion model (DTI or QBall) in each voxel of the input image (restricted by a mask if provided)

Description

Computes diffusion information in each voxel with a non null T2 value (or in each voxel in the mask if a mask is used). The result is a "Bucket" file containing, for each voxel processed, the computed information.

This process proposes two models :

Diffusion tensor : diffusion tensor model.

Diffusion QBall : diffusion qball model.

Default model is DTI. If you choose QBall model, DTI will be also selected by default because it is needed to compute diffusion maps. But it can be deselected by clicking on the checkbox near Diffusion tensor process.

Parameters

t2_diffusion: T2 Diffusion MR ( input )

T2 image extracted from diffusion raw data.

dw_diffusion: DW Diffusion MR ( input )

Diffusion-weighted images corrected or not.

mask: Diffusion Mask ( optional, input )

Binary mask used to limit the computed voxels. Voxels not in the mask (i.e. whose voxel value is zero) are ignored.

model_type: Choice ( input )

Type of model to create. Default is DTI.

diffusion_model: Diffusion Model ( output )

Resulting structure containing diffusion information for each voxel.

Technical information

Toolbox : Diffusion and Tracking

User level : 0

Identifier : DiffusionModel

File name : brainvisa/toolboxes/connectomist/processes/Model pipeline components/DiffusionModel.py

Supported file formats :

t2_diffusion :

GIS image, VIDA image, NIFTI-1 image, MINC image, gz compressed MINC image, DICOM image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, TIFF(.tif) image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v image

dw_diffusion :

GIS image, VIDA image, NIFTI-1 image, MINC image, gz compressed MINC image, DICOM image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, TIFF(.tif) image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v image

mask :

GIS image, VIDA image, NIFTI-1 image, MINC image, gz compressed MINC image, DICOM image, TIFF image, XBM image, PBM image, PGM image, BMP image, XPM image, PPM image, gz compressed NIFTI-1 image, TIFF(.tif) image, ECAT i image, PNG image, JPEG image, MNG image, GIF image, SPM image, ECAT v image

diffusion_model :

Bucket