Requirement: if no database is set, add a database
For more details about data importation, see BrainVISA manual - Data importation chapter
icon. You have to fill in several information fields for this data
The image has been copied in the BrainVISA database directory. Now, let us have a look at the database and its content:
icon to visualize the output image with Anatomist. Click again on the button to close the visualization. Right-click on the button to open the viewer process associated to this type of data.Requirement: if there is no T1 MRI in the database Import a T1 MRI
In this step, we are going to spot 4 points in the image: the anterior commissure, the posterior commissure, an inter-hemispheric point and a point of the left hemisphere. The spotted coordinates will be written in a .APC file which will be used during the Morphologist pipeline to compute a transformation to the Talairach AC/PC referential, which is useful to see several subjects images in a common referential.
This step can be replaced by a normalization using SPM or FSL. An alternative step using a normalization is offered in Morphologist pipeline if SPM or FSL is installed on your system.
If you want to use the SPM normalization, you have to set the SPM paths in BrainVISA configuration. To do so, go to BrainVISA menu -> Preferences -> SPM. An Auto detect button is available to try and find the paths automatically.
This process is included in the Morphologist pipeline as a first step but it is also possible to run it separately.
icon. The output field
Commissures_coordinates is automatically filled thanks to BrainVISA database system.
button. Anatomist starts and a window containing the T1 MRI image is opened. Scroll the slices of the image to find AC point, click on the point, then click on the
button near Anterior_commissure field to copy the coordinates of the point. Do the same for the other points. Be careful for the left hemisphere point : Anatomist displays images in radiological mode by default, so left and right are inverted.Requirement: AC/PC spotting or normalization
The anatomical pipeline is made of the following processing steps :
T1 Bias correction (mri_corrected) : Corrects for the spatial bias in usual MR images.
Histogram analysis (histo_analysis) : Analyses a T1-weighted histogram to estimate grey/white statistics.
Compute Brain mask (brain_mask) : Computes a binary mask of the brain from a bias corrected T1-weighted image from the histogram analysis.
Split brain mask (split_mask) : Splits the brain into three parts (hemispheres + cerebellum).
Talairach Transformation (Talairach_transform) : Computes a transformation between the image referential and the Talairach AC/PC referential.
Grey White classification: Computes a mask of the grey and white matter (left_grey_white and right_grey_white).
Grey White Surface: Computes a 3D mesh of the grey / white interface for each hemisphere (left_white_mesh and right_white_mesh).
Grey Spherical Hemi Surface: Computes a 3D mesh of the external surface of the cortex for each hemispheres (left_hemi_mesh and right_hemi_mesh).
Head mesh (head_mesh): Creation of the head mesh. Mainly useful for visualization purpose.
Cortical fold graph (left_graph and right_graph): Builds a graph representation of the cortical folds for each hemisphere.
Sulci recognition: automatic labelling of the sulci. It is not selected by default because it can take a long time.
For more information about the pipeline steps, see the slides of a presentation about the Morphologist pipeline (http://brainvisa.info/doc/morphologist/morphologist.pdf).
To run the pipeline :
icon.
It can be useful to keep a trace of the processes applied to data. To do so, you can save a process with its parameters and options in a file:
Once a step is finished, its results are written and can be visualized.
button near each output data (indicated by the
icon) to visualize it.
button to close the visualization.The new Morphologist pipeline has been greatly improved and should succeed on most images. In case it fails, here are a few advices :
First, let us find which step has failed:
To know what happened, you can also read BrainVISA log : click on BrainVISA => Show log menu. A window showing the historic of processes started in the current session appears.
If the automatic segmentation is not perfect, it is possible to correct it manually.
Requirement: Morphologist pipeline to obtain sulci graph.
It is available as the last step of the Morphologist pipeline but it can also be run as a separate process. The process is in Morphologist => Sulci => Recognition => Sulci Recognition (both hemispheres).
The SPAM recognition requires the installation of the SPAM models which are not included in the main BrainVISA package because of their size. These models are in additional packages downloadable on Brainvisa website. They can be easily installed thanks to the process Morphologist -> Sulci -> Recognition -> SPAM models installation. Anyway, a process that checks this installation is now automatically selected as a first of the Morphologist pipeline when the sulci recognition is selected. If the models are not found, Brainvisa will suggest you to install them.
Requirement: Automatic recognition.
This process does not actually make statistics, it only gives some descriptors on regions, according to a model. This process has been primarily written for cortical folds graphs and it is still its main usage, but it can also be used to obtain descriptors for gyri or ROIs.
The input sulci graphs must be labelled. The outputs will be one CSV file for each sulcus with one line per subject.
button : choose a labelled cortical folds graph of the subject we have just processed (subject01).
In order to have information about the descriptors computed in this process, you can run the viewer of the model. It displays a documentation about the model and the associated descriptors.
To do so:
button near the model parameter. Requirement: Anatomical pipeline to obtain sulci graph.
This process inflates the cortical surface for visualization purpose. It can be used for example to visualize an activation map on the cortical surface with Anatomist. Only the white mesh (grey/white interface) can be used as input of this process, the hemisphere mesh (external surface of the cortex) cannot be used because it has not a spherical topology that would enable to apply a deformation.
button.The process has two outputs: the inflated mesh (output_mesh) and a texture containing information about the curvature of the surface.
Once the process is finished, visualize the results by clicking on the
button near the output_mesh parameter. The viewer opens the inflated mesh with the curvature texture applied on it. Move the slider to scroll through the deformation steps of the mesh.