Digitize EEG sensor locations and head shape using 3D scanners (Under Construction)

Authors: Chinmay Chinara, Wayne Mead, Yash Shashanka Vakilna, Anand Joshi, Takfarinas Medani, Raymundo Cassani, John Mosher, Richard Leahy

Background

This tutorial shows a much faster, accurate and automated way of localizing and labeling EEG electrodes from a 3D model that was acquired using Revopoint Range 2, an affordable and advanced 3D scanner that uses structured light approach for mapping the scalp surface (with the EEG cap on).

The first part of the tutorial covers how to digitize the EEG electrodes from an available 3D model. The second part shows how to use the Revopoint Range 2 3D scanner to capture data.

Digitize using 3D scanner

Example dataset

Description

This data consists of 3D model of a subject wearing a custom EEG cap ANT Waveguard 65 that was captured using the Revopoint Range 2 3D scanner by the steps mentioned in Acquiring using 3D scanner at The University of Texas Health Science Center at Houston, USA.

License

This data is open-sourced by the University of Texas Health Science Center at Houston, USA.

Files

The example dataset can be downloaded from here. The files that will be imported in this tutorial are the following:

sub1_Waveguard_ANT_65/

• sub1/sub1_mesh_tex.obj: The obj mesh file.

• sub1/sub1_mesh_tex.jpg: The texture file associated with the mesh.

• sub1/sub1_mesh_tex.mtl: The material file associated with the mesh.

• The mesh has been defaced using MeshLab.

Loading the mesh

1. Create a new protocol called Tutorial_Digitizer.

2. Go to File>Digitize>3D scanner.
   
   

3. Enter the Subject ID in the pop-up window that opens up. Make sure that it is unique and does not match to any other subject in the same protocol. We will call it sub1.
   
   

4. The subject gets created with the Default Anatomy.

5. From the Import surfaces... window, do the following:

   • File type: Wavefront OBJ (*.obj)

   • Choose sub1_mesh_tex.obj

   • Click Open.
     
     

   • Adjust the scale factor based on the prompt. This would bring the units of the vertices of the 3D model to the Brainstorm units m. For this example data, Brainstorm detected that the units were in mm so choosing 0.001 as the scaling factor would fix the units of the vertices.
     
     

6. The mesh gets loaded into the protocol for the subject and the Digitize GUI opens up along with the mesh loaded. The Brainstorm GUI will be hidden during the use of the application and will reappear after exiting Digitize GUI.
   
   

7. This application allows you to collect:
   • Three head localization coils (HPI) for computing the head coordinate system
   • Three anatomical landmarks for Sensor-MRI co-registration
   • EEG sensor locations
   • Scalp points for head shape

8. When complete the coordinates can be save in a variety of formats including CTF (*.pos), megDraw (*.eeg) or tab-delimited ASCII text.

Configure EEG cap point collection

1. Go to File>Edit Settings.... This opens up the 3DScanner configuration window.
   
   

   • List anatomy and possibly MEG fiducials in desired order: A comma separated list of all the anatomy and possibly MEG fiducials to be recorded. For this example, we will only be collecting the anatomy fiducials so we set it as NAS, LPA, RPA.

   • Number of times to collect the three fiducials: These collections will occur at the beginning of the session and will be averaged together to compute the transformation to the HPI or head coordinate system. For this example, we set it to 1.

   • Distance threshold (mm): It defines the threshold allowed between the respective anatomical fiducial points when there is repeated collection of them. For this example, since we are collecting just one round of fiducials, this is not used.

   • Beep: This will generate a beep sound with each point collection (this is often helpful to realize a click while collecting a point from the mesh). For this example, we set it to 1.

Configure EEG montage

1. The next step is to configure EEG montage to select the cap layout we want to select. Brainstorm by default has a bunch of cap layouts already predefined. For this example, we use the ANT Waveguard 65 cap.

2. Go to EEG montage>Add EEG Montage...>Use default EEG cap>ICBM152>ANT>ANT Waveguard 65 to add load the layout to the Coordinates section where the collected points will also be updated.
   
   

Collect the required number of Anatomical Fiducials

1. Click on the figure, and press Ctrl+P to activate collection mode (you will see the mouse cursor change to a crosshair). Click on the desired location on the mesh and press key 'C' to collect the NAS, LPA and RPA fiducials in order. Refer the tutorial Coordinate Systems for reference. The change can be seen in the Coordinates panel under each label.

2. When collecting more than one set of fiducials, an error message is displayed if the difference between the sets is > 5mm

3. If the MEG HPI coils are not used, then the head coordinate system is computed with the anatomical fiducials and the points are plotted on the 3D point display. Unless the user changes the anatomy for the Brainstorm Digitize subject, the default anatomy is used. It may not match exactly the subject being digitized, but should be a good quality control image to ensure the points are positioned where expected.

4. Note that the 3D figure is a standard Brainstorm window, where you can use all the mouse operations (rotation, zoom, popup menu) and the keyboard shortcuts (predefined view, screen capture...) introduced in the previous tutorials.

5. The coordinates are displayed in the coordinate list in cm

6. Once the fiducials are collected, the collection automatically moves to EEG positions
   
   

Collect EEG points

1. Make sure collection mode is active (crosshair visible as per Step-1 in the previous section Collect Anatomical Fiducials).

2. We are going to automatically detect and label the electrodes in the cap, but for that we need a minimal set of manual points that will help detect the rest of the electrodes. For this example, we are going to manually collect Fpz, T7, T8, Oz in order from the mesh based on the layout above. The 4 figures below (top to bottom) correspond to the order Fpz, T7, T8, Oz respectively.
   
   
   
   
   
   
   
   

3. At this point we can continue collecting points manually (which can get time consuming). Instead, we can see that the Auto button gets activated (after the relevant electrodes have been manually marked in Step-2 above).

4. Click on Auto to automatically detect the positions and labels for the sensors on the EEG cap. Click Yes on the disclaimer that pops up.
   
   
   
   

Edit EEG points

If there are any bad detections, you can manually select and press Delete key to delete these points from the Coordinates list and the figure one at a time. Then in the point selection mode (press Ctrl+P while on the figure) click on the correct location on the mesh and press key C to remark them manually which also updates the Coordinates list. Below you can see that FCz is misaligned and how it can be rectifed.

Collect the desired number of head shape points

1. In order to take full advantage of the Sensor-MRI co-registration algorithms in Brainstorm, it is recommended to collect approximately 100-150 points from the head: 5-10 points from the boney part of the nose, 10-15 points across the eyebrows, then an even coverage of the scalp from the eyebrows to the inion. It is NOT recommended to collect points below the inion on the neck, since the shape of the neck can change between lying in the MRI scanner and sitting during point collection. Even coverage is more important that dense coverage.

2. To automatically choose 150 random points, click on Random. These can be seen as the green points in the figure and the numbered 001-150 in the Coordinates list on the GUI.
   
   

3. If user wants to add head shape points manually, it can be done by clicking on the figure, and press Ctrl+P to activate collection mode. Click on the desired location on the mesh and press key 'C' to collect. The points 151-155 in the figure below were collected manually.
   
   

4. Each point is displayed on the 3D points display.
5. The counter is incremented each time a point is collected and therefore indicates which point will to be collected next.

Save

1. The user can save the points to a text file in a variety of formats.

2. The points can be saved as a *.pos file for import into CTF datasets or your Brainstorm database. Select Save as... and confirm the file name and location.

3. When exiting the program, select File > Save in database and exit to ensure the points are saved in the Brainstorm database.

View on scalp surface

1. Once saved, go to the functional tab, you can see the channel created under the subject name with all the electrodes assigned. Double click on it to see the electrodes on the default scalp (top row image below). Right click on the channel file, MRI Registration>Check to see how well the alignment is (bottom row image below). There will be some errors due to the scalp not matching the head shape of the subject.
   
   

2. To align it, right click on the channel file, MRI Registration>Refine using head points to align it to the default head shape. Refer to Automatic Registration for more details.
   
   

Acquiring using 3D scanner

The Hardware

Revopoint hardware package comes with the 3D scanner with tripod and a USB to USB-C cable. More details on the hardware can be found in their website.

System requirements

1. Windows: Windows 10/11 (64-bit)
2. RAM: 8 GB or better
3. Processor: Intel Core i5 10th Generation or better
4. Mac OS X: 10.7+

Prepare the EEG cap

1. The EEG cap can be made of shiny materials and these can lead to bad scanning. To reduce the effect of shine make sure to spray it with any commercially available dry shampoo before each subject scan.

Prepare the subject

1. Make sure the subject has no glasses on. Since the scanning involves use of flashing white light, the reflections from the glasses could lead to bad scanning.
2. Minimize structures floating over the cap such as additional wires or hair. If the cap has removable electrodes with exposed wires, scan the cap without electrodes attached. A stocking over the cap can be used if exposed wires cannot be removed.
3. While the scanning is on, make sure the subject sits as steady as possible and has the eyes closed.

Revo Scan software

Revopoint uses the Revo Scan software to do the scanning of a subject wearing EEG cap and generate a 3D mesh. This mesh can then be imported into Brainstorm to automatically detect and label the electrodes in it.

Installation

1. Download the software from their webpage based on your Operating System (OS).
   
   

2. Install it by keeping the defaults. After it has finished installing click on Complete.

Start new project

1. Connect the 3D scanner to your PC and launch the RevoScan software. It will take few seconds to initialize and show Scanner Connected as under.
   
   

2. If you are connecting it for the first time, it might ask for calibration of the device which is a very essential step. Calibrating a Revopoint 3D scanner resets its internal parameters to ensure accurate scanning data and alignment. Follow the onscreen steps and prompts to complete the calibration.

3. Click on New Project and give it a File Name and Location. Click New. Make sure to start a new project per subject.
   
   

4. This should now take you to the scanning window.
   
   

Pre-scanning setup (Scan Mode)

1. Depth Camera exposure (top left section): Use the plus/minus buttons behind the scanner to increase/decrease the exposure. Blue/Red artefacts in this window indicate under/over exposed camera. Use the buttons to adjust the exposure so that there are minimal/no artefacts. For e.g. in the scan below, the exposure of 1 was gave underexposed artefacts and increasing it to 2 gave good results. This exposure depends largely on the environment your scanning is done in and can vary from case to case.
   
   

2. Scan Settings (right section):

   • Accuracy: High Accuracy
   • Tracking Mode: Feature Tracking
   • Object Type: Body
   • Color Scanning: On
   • Base Removal: Default (90%)

   • Scanning Distance: ~ 400 mm to 900 mm
     
     

3. Get a good scanning distance: Pointing the camera to the subject, move close and away from them. You can see the range meter on the right just to the left of the Scan Settings going from Too Near to Too Far. You want to be in the Excellent range to get the best results. Note/mark this distance.
   
   

Scanning

From the marked position above, click on the Play button on the back of the Revopoint to start the scanning. Move the camera continuously with a steady hand, balance speed and stability to improve the quality of your scans. Most scans for the entire head can be accomplished in 30 seconds. The green color on the scanning mesh being generated indicate that the scan is going correctly and in Excellent range. If otherwise, then pause the scanning at that instant by pressing the Play button again. There are 2 things that can be done from here:

• If you want to resume over the same scan, pressing Play again will resume the scan and automatically start aligning to the already generated scan. This is not recommended as the result might contain a lot of over scanning artefacts.

• The other option is to click on Complete and start a new scan and then later you can choose to merge multiple scans together. This is recommended as this reduces the creation of artefacts.

Processing

This section covers the cleaning and processing of the scanned mesh required before it can be exported.

1. Fusion: This merges the raw point cloud mesh to a more unified and accurate point cloud model.

   • Fusion Method: Advanced

   • Point distance(mm): 1

   • Click on Apply
     
     

   • Clean the mesh using the clipping tool on the right to remove unwanted mesh area. We do not need any area other than the cap and face.
     
     

2. Isolation: This identifies and removes and floating or noisy points that are isolated from the main point cloud data to make it more clean.

   • Isolation Rate: 50%

   • Click on Apply

3. Overlap Detection: This is to remove any misalignments or overlapping data in the point cloud for a more accurate and consistent model.

   • Overlap distance(mm): 3

   • Click on Detect

4. Mesh: It converts the point cloud data to a solid 3D model.

   • Turn off the color by pressing the color icon on the top for better visualization of the meshing process

   • Quality: 5.8

   • Hole Filling(Auto): Turned off

   • Click on Apply
     
     

5. Simplify: This makes the mesh more manageable for storage and processing. We do not require a very dense mesh for working with in Brainstorm so anything around 100000-200000 vertices would be sufficient.

   • Ratio: 50%

   • Click on Apply

6. Texture Mapping: Maps the texture to the 3D model

   • Turn on the color back by pressing the grayed out color icon on the top

   • Texture: Color image

   • Click on Apply
     
     

Saving and exporting

Click on Export>Texture Model and save as .obj. This will save 3 files to the disc:

• .obj: The obj mesh file.

• .jpg: The texture file associated with the mesh.

• .mtl: The material file associated with the mesh.

Additional documentation

Related tutorials

• Digitize EEG sensor locations and head shape using Polhemus

Forum discussions

• Digitizing EEG sensors with 3D scanner in Brainstorm

• Import 3D scanner digitized electrode locations into BST

• Warp default anatomy to 3D scanner digitized EEG channel locations

Articles

• Simon Homölle, Robert Oostenveld
  Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions.
  Journal of Neuroscience Methods, Volume 326, October 2019.