Differences between revisions 12 and 26 (spanning 14 versions)

FEM tensors estimation with BrainSuite

Authors: Takfarinas Medani, Francois Tadel, Anand Joshi and Richard Leahy

[TUTORIAL UNDER WRITING: NOT READY FOR PUBLIC USE]

Describe brainsuite here : here we will describe the process of the brain tissues anisotrpy estimation and the different functions that brainstorm offers.

This tutorial explains how to use Brainsuite to estimate the anisotropy of the brain tissues.

refer to this page

https://neuroimage.usc.edu/brainstorm/Tutorials/SegBrainSuite?highlight=%28anand%29

The realistic tensors are estimated from the Diffusion-Weighted Images (DWI). For this purpose, Brainstorm calls internally the BrainSuite Diffusion Pipeline to compute the diffusion tensors on each brain voxel. Afterward, the Effective Medium Approach is applied to convert the diffusion tensors to the conductivity tensors. The following section shows the users how to do it from the graphical interface.

Only the NIfTI is supported. All the diffusion data, including the DWI file and direction and the value of the gradient files, respectively the *.nii, the *.bval and the *.bvec are required. Ideally, these files should have the same name and saved in the same folder.

Contents

Requirement
Brainsuite Installation
Dataset
Realistic condctivity tensors
Artificial/simulated conductivity tensors
References

Requirement

You have already followed all the introduction tutorials
You have a working copy of Brainstorm installed on your computer

Brainsuite Installation

Download the latest version of BrainSuite from http://www.brainsuite.org/download.
Install it on your computer by following the instructions in BrainSuite's quick start installation guide.
Note that you will be using BrainSuite Diffusion Pipeline(BDP), so you need to install a compatible MATLAB Compiler Runtime(last version).
Start BrainSuite to check if the installation (It's not required to open BrainSuite to run this tutorial).
The BrainSuite installation folder should be informed in the Brainstorm preferences

Dataset

In this tutorial, we use the Brainsuite dataset example available on the Brainsuite tutorial webpage

http://brainsuite.org/tutorials/. The T1w of the subject can be download from this link BrainSuiteTutorialSVReg_Sept16.zip. The DWI from this link DWI_Feb15.zip

The first link contains the T1 MRI, with the name '2523412.nii.gz'. as in this figure,

The second file is the DWI and should contain at least three files

Where the *.bval is a text file that contains the value of the gradient, and the *.bvec is also a text file that contains the orientation of the gradient. The nii.gz file is the NifTi file of the DWI where the images are stored.

Realistic condctivity tensors

Load the T1 MRI data to brainstorm

First, you need to create a new subject in your protocol, let call it the 'BrainSuiteSubject'. Then import the T1 MRI of the subject and set the fiducials points as explained in the previous tutorial.

The T1 MRI is required since all the BDP uses the T1 space for its computation. Furthermore, this is required since it will be used to align the tensors to the FEM mesh later.

Diffusion tensor generation (DTI) from DWI

In this step, Brainstorm calls the Brainsuite internally, and the diffusion tensors are computed.

Right-click on the subject and then select the item "Convert DWI to DTI". Then follow the popup windows by selecting the DWI, bval, and bval files. If these files are in the same folder, Brainstorm will detect them automatically, otherwise, the user will be asked to browse the files one by one (as it's the case in this tutorial).

At the end of this process, a new node will appear in the Brainstorm database with the name 'DTI-EIT'. This name refers to, DTI: diffusion tensors images, and EIG for eigenvalue, since the eigenvalues and eigenvectors are computed at voxel and stored in Brainstorm database.

If you check the structure of the file DTI-EIG, by right click -> File and then 'Display file contents', the following figure is displayed.

The size of the matrix is 128x256x256x12, where the first 3 values are the same as the size of the T1 MRI and 12 corresponds to the 3 eigenvectors components (9) and eigenvalues (3)

Conductivity tensor generation from DTI

The Effective Medium Approach is applied to convert the diffusion tensors to the conductivity tensors.

FEM mesh head model

This step requires the FEM mesh of the head model. You can generate the FEM head model from the MRI as explained on this page (add link).

For the following, we used the SimNibs FEM mesh generation. The following figure shows the FEM mesh obtained from using the T1 MRI.

Note that this mesh is obtained only from the T1, the use of the T2 is highly recommended if it's available.

FEM mesh tensors

Once the FEM mesh and the DTI tensors are available in the Brainstorm database, the next step for the FEM tensors can be performed by the following:

- Right-click on the FEM mesh - Compute FEM tensors

Brainstorm checks the available tissues in the FEM head model and displays the following panel

This panel lists the tissues available in the FEM head model and assigns a default value of the conductivity for each compartment. Users can change these values to their own if needed.

DTI values can be used to generate conductivity tensors for the white matter (and in some cases for the grey matter). Please, note that the DWI can be used only for the brain tissues and not for the outers compartments (skull and skin)

In this tutorial (and in most cases) we select the white matter. Select the anisotropy button for the white matter and then these additional options appear asking for the method to use.

The available methods are: - Effective Medium approach (EMA) - Effective Medium approach with volume constraints - Simulated anisotropy

In the case where the user wants to use generate isotropic tensors, then the DTI is not required.

In the case where more than one FEM head model is in the database, the highlighted one in the green color will be used.

The FEM head model to use for tensors should be selected and highlighted with the green color (double click on the FEM mesh node to select it)

When this is done, then right-click on the subject -> 'Convert DWI to DTI',

Brainstorm will load the available tissue in the FEM head model and the following windows appear.

Select the WM anisotropy and kee all the other tissues as isotropic.

The process of conversion from DWI to Conductivity tensors uses the EMA, furthermore, brainstorm proposes the option to use the adaptative EMA with the volume constraint option [ref]. In this example, we select the EMA with the VC.

The process will take around 10 min, and then the FEM tensors are computed and stored in the FEM structure. [explain how it is organized and how to use it outside brainstorm ]

Brainstorm will load the available tissue in the FEM head model and the following windows appear.

Select the WM anisotropy and kee all the other tissues as isotropic.

The process will take around 10 min, and then the FEM tensors are computed and stored in the FEM structure. [explain how it is organized and how to use it outside brainstorm ]

Artificial/simulated conductivity tensors

In the case where the DWI is not available, or the users desire to evaluate the effect of the conductivity change on the model, the artificial conductivity can be used.

Two approaches are integrated within Brainstorm. Either the

-  ⇤ ← Revision 12 as of 2020-08-21 04:15:08 → 
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+   ← Revision 26 as of 2020-08-25 02:54:09 → ⇥
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-Deletions are marked like this.
+Additions are marked like this.
 Line 1:
+## page was renamed from brainsuiteBDP
-Line 13:
+Line 14:
-[[https://neuroimage.usc.edu/brainstorm/Tutorials/SegBrainSuite?highlight=(anand)|https://neuroimage.usc.edu/brainstorm/Tutorials/SegBrainSuite?highlight=%28anand%29]]
+[[https://neuroimage.usc.edu/brainstorm/Tutorials/SegBrainSuite?highlight=(Anand)|https://neuroimage.usc.edu/brainstorm/Tutorials/SegBrainSuite?highlight=%28anand%29]]

The realistic tensors are estimated from the Diffusion-Weighted Images (DWI). For this purpose, Brainstorm calls internally the BrainSuite Diffusion Pipeline to compute the diffusion tensors on each brain voxel. Afterward, the Effective Medium Approach is applied to convert the diffusion tensors to the conductivity tensors. The following section shows the users how to do it from the graphical interface.

Only the NIfTI is supported. All the diffusion data, including the DWI file and direction and the value of the gradient files, respectively the *.nii, the *.bval and the *.bvec are required. Ideally, these files should have the same name and saved in the same folder.
-Line 17:
+Line 22:
-== Installation ==
+== Requirement ==
 * You have already followed all the introduction tutorials
 * You have a working copy of Brainstorm installed on your computer

== Brainsuite Installation ==
-Line 22:
+Line 31:
+. The BrainSuite installation folder should be informed in the Brainstorm preferences
-Line 23:
+Line 33:
-== Requirement ==
 * You have already followed all the introduction tutorials
 * You have already generated the FEM mesh as explained here (link to the FEM mesh tutorial)
 * You have a working copy of Brainstorm installed on your computer
 * Get the open access reference data set from''' '''here'''  link todataset of Ernie / simnibs'''
+{{attachment:brainsuiteInstalation.JPG||height="250",width="650"}}
-Line 29:
+Line 35:
-The BrainSuite installation folder should be informed in the Brainstorm preferences:
+----
== Dataset ==
In this tutorial, we use the Brainsuite dataset example available on the Brainsuite tutorial webpage
-Line 31:
+Line 39:
-{{https://user-images.githubusercontent.com/6920058/81406567-1c785400-913a-11ea-9048-28c7459af7da.png|image}}
+http://brainsuite.org/tutorials/. The T1w of the subject can be download from this link  [[http://brainsuite.org/WebTutorialData/BrainSuiteTutorialSVReg_Sept16.zip|BrainSuiteTutorialSVReg_Sept16.zip]]. The DWI from this link  [[http://brainsuite.org/WebTutorialData/DWI_Feb15.zip|DWI_Feb15.zip]]
-Line 33:
+Line 41:
-== Import data ==
Onc you have imported the MRI and generated a FEM mesh. You can call the process to generate the FEM tensors. In the folowing, both the realistic tensors from the DWI and the artificial tensors will be generated.
+The first link contains the T1 MRI, with the name '2523412.nii.gz'. as in this figure,

{{attachment:vierMriFolder.JPG||height="130",width="580"}}

The second file is the DWI and should contain at least three files

{{attachment:vierDWIFolder.JPG||height="150",width="580"}}

Where the *.bval is a text file that contains the value of the gradient, and the *.bvec is also a text file that contains the orientation of the gradient. The nii.gz file is the NifTi file of the DWI where the images are stored.
-Line 37:
+Line 52:
-The realistic tensors are estimated from the Diffusion Weighted Images (DWI). For this purpose, Brainstorm calls internally the BrainSuite Diffusion Pipline to compute the diffusion tensors on each brain voxel. Afterwards, the Effective Medium Appeach is applied to convert the diffusion tensors to the conductivity tensors. The following section shows to the users how to do it from the graphical intefrace.
+=== Load the T1 MRI data to brainstorm ===
First, you need to create a new subject in your protocol, let call it the 'BrainSuiteSubject'. Then import the T1 MRI of the subject and set the fiducials points as explained in the previous tutorial.
-Line 39:
+Line 55:
-Only the NIfTI are supported. All the diffusion data, inclusing the DWI file and direction and the value of the gradient files , respectively the the *.nii, the *.bval and  the *.bvec are required. Ideally these files should have the same name and saved in the same folder.
+The T1 MRI is required since all the BDP uses the T1 space for its computation. Furthermore, this is required since it will be used to align the tensors to the FEM mesh later.

{{attachment:mri.JPG||height="100",width="250"}}

=== Diffusion tensor generation (DTI) from DWI ===
In this step, Brainstorm calls the Brainsuite internally, and the diffusion tensors are computed.

Right-click on the subject and then select the item "Convert DWI to DTI". Then follow the popup windows by selecting the DWI, bval, and bval files. If these files are in the same folder, Brainstorm will detect them automatically, otherwise, the user will be asked to browse the files one by one (as it's the case in this tutorial).

At the end of this process, a new node will appear in the Brainstorm database with the name 'DTI-EIT'. This name refers to, DTI: diffusion tensors images, and EIG for eigenvalue, since the eigenvalues and eigenvectors are computed at voxel and stored in Brainstorm database.

{{attachment:mriAndDTI-EIG.JPG||height="100",width="250"}}

If you check the structure of the file DTI-EIG, by right click -> File and then 'Display file contents', the following figure is displayed.

{{attachment:EIG-hardDisc.JPG||height="100",width="250"}}

The size of the matrix is 128x256x256x12, where the first 3 values are the same as the size of the T1 MRI and 12 corresponds to the 3 eigenvectors components (9) and eigenvalues (3)

=== Conductivity tensor generation from DTI ===
The Effective Medium Approach is applied to convert the diffusion tensors to the conductivity tensors.

==== FEM mesh head model ====
This step requires the FEM mesh of the head model. You can generate the FEM head model from the MRI as explained on this page (add link).

For the following, we used the SimNibs FEM mesh generation. The following figure shows the FEM mesh obtained from using the T1 MRI.

{{attachment:Mri&femMeshView.JPG|Mri&femMeshView.JPG|height="300",width="260"}} {{attachment:femMeshView.JPG||height="300",width="280"}}

Note that this mesh is obtained only from the T1, the use of the T2 is highly recommended if it's available.

==== FEM mesh tensors ====
Once the FEM mesh and the DTI tensors are available in the Brainstorm database, the next step for the FEM tensors can be performed by the following:

- Right-click on the FEM mesh - Compute FEM tensors

{{attachment:menuGenerateFemTensors.png||height="280",width="250"}}

Brainstorm checks the available tissues in the FEM head model and displays the following panel

{{attachment:FEMConductivitiesIsoPanel.JPG||height="300",width="250"}}

This panel lists the tissues available in the FEM head model and assigns a default value of the conductivity for each compartment. Users can change these values to their own if needed.

DTI values can be used to generate conductivity tensors for the white matter (and in some cases for the grey matter). Please, note that the DWI can be used only for the brain tissues and not for the outers compartments (skull and skin)

In this tutorial (and in most cases) we select the white matter. Select the anisotropy button for the white matter and then these additional options appear asking for the method to use.

{{attachment:FEMConductivitiesAnisoPanel.JPG||height="250",width="250"}}

The available methods are:
- Effective Medium approach (EMA)
- Effective Medium approach with volume constraints 
- Simulated anisotropy 


In the case where the user wants to use generate isotropic tensors, then the DTI is not required.

In the case where more than one FEM head model is in the database, the highlighted one in the green color will be used.
-Line 43:
+Line 117:
-When this is done, then right-click on the subject > Convert DWI to DTI,
+When this is done, then right-click on the subject -> 'Convert DWI to DTI',
-Line 45:
+Line 119:
-Then follow the popup windows by selecting DWI, bval and bval. If these files are in the same folder, Brainstorm will detect them automatiquely, otherwise user will be asked to browse the files one by one.
+Brainstorm will load the available tissue in the FEM head model and the following windows appear.
-Line 47:
+Line 121:
+Select the WM anisotropy and kee all the other tissues as isotropic.
-Line 48:
+Line 123:
+The process of conversion from DWI to Conductivity tensors uses the EMA, furthermore, brainstorm proposes the option to use the adaptative EMA with the volume constraint option [ref]. In this example, we select the EMA with the VC.
-Line 49:
+Line 125:
-Brainstorm will load the avialbale tissue in the FEM head model and the following windows appears.
+The process will take around 10 min, and then the FEM tensors are computed and stored in the FEM structure. [explain how it is organized and how to use it outside brainstorm ]
-Line 51:
+Line 127:
-Select the WM anisotropy and kee all the oher tissues as isotropic.
+Brainstorm will load the available tissue in the FEM head model and the following windows appear.
-Line 53:
+Line 129:
-The process of conversion from DWI to Conductivity tensors use the EMA, furthermore, brainstorm propose the option to use the adaptative EMA with the volume constraint option [ref]. In this example we select the EMA with the VC.
+Select the WM anisotropy and kee all the other tissues as isotropic.
-Line 55:
+Line 131:
-The process will take around 10 min, and then the FEM tensors are computed and stored in the FEM strucutre. [explain how it is organised and how to use it outside brainstorm ]
+The process of conversion from DWI to Conductivity tensors uses the EMA, furthermore, brainstorm proposes the option to use the adaptative EMA with the volume constraint option [ref]. In this example, we select the EMA with the VC.
-Line 57:
+Line 133:
-=== Display the tensors ===
+The process will take around 10 min, and then the FEM tensors are computed and stored in the FEM structure. [explain how it is organized and how to use it outside brainstorm ]
-Line 59:
+Line 136:
-In the case where the DWI is not available, or the users desire to evaluates the effect of the conductivity change on the model, the artificial conductivity can be use.
+In the case where the DWI is not available, or the users desire to evaluate the effect of the conductivity change on the model, the artificial conductivity can be used.

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