Automatic EEG localization and labelling using Revopoint 3D #716
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…llar/toolbox) required for warping and interpolating points on EEG cap
- it is always going to be a meshed OBJ so 'FileType' parameter is unnecessary - renamed 'tri' as 'faces' - renamed 'pos' as 'vertices'
- ANT 65 is a modeifed version of ANT Waveguard 64 - Acticap 66 is a modified version of Acticap 65
to be used for registration to MRI
Needs work on a more generic approach to handle different EEG caps
- Limit display of 'Auto' and 'Random' buttons for Revopoint only - Correct display order of EEG labels based on the initialization labels required as per the EEG cap - Removed unwanted code for sketch points (was used for debugging) - Creating montages from EEG cap layout mat files (only for Revopoint)
chinmaychinara91
commented
Nov 5, 2024
- Retrieve sSubject from MRI filename - Generate unique comment
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@chinmaychinara91, @tmedani Please add a warning in the tutorials and in the GUI (e.g. when clicking on the Auto button) that the Auto feature is experimental, and results must be carefully verified. |
Agreed will do |
tested in R2014a: `TessInfo.hPatch` does not have the structure definitions
tested in R2014a: Large Radius warnings were showing up
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Did the tests. All look good now. It can be merged. |
rcassani
approved these changes
Nov 6, 2024
rcassani
requested changes
Nov 6, 2024
rcassani
approved these changes
Nov 6, 2024
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Tutorial: https://neuroimage.usc.edu/brainstorm/Tutorials/TutDigitize3dScanner#Digitize_using_Revopoint_Digitize_GUI_in_Brainstorm
Test Data: Can be downloaded from here.
Goal is to allow automatic localization and labelling of EEG caps using 3D scanned mesh of a person wearing the cap (captured using Revopoint 3D). This represents a new low-cost, fast, easy-to-use approach for digitizing heads and electrodes as compared to the traditional digitizer.
NOTE: Currently tested well with two configurations of EEG caps:
d40c719c49ebc6Proposed GUI within Brainstorm
LEGACY MODE
2024 MODE
@tmedani @ajoshiusc @yashvakilna