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Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source
Gaia Amaranta Taberna1, Jessica Samogin1, Dante Mantini2,3
1Research Center for Motor Control and Neuroplasticity, KU Leuven, Tervuursevest 101, 3001, Leuven, Belgium.
Neuroinformatics
|January 28, 2021
Summary
MR-TIM is a new toolbox for creating accurate head models from MRI scans. This improves electroencephalography (EEG) source reconstruction and brain imaging analysis.
Area of Science:
- Neuroscience
- Medical Imaging
- Biomedical Engineering
Background:
- Technological advancements enable precise electroencephalography (EEG) analysis of brain activity and connectivity.
- Accurate EEG source reconstruction relies on realistic head models, including electrode positions and tissue distribution.
Purpose of the Study:
- Introduce MR-TIM, a novel toolbox for head tissue modeling using structural magnetic resonance (MR) images.
- Enhance the accuracy of head models for improved EEG source reconstruction.
Main Methods:
- MR-TIM comprises three modules: image pre-processing (denoising), tissue probability mapping (generating TPMs in individual space), and tissue segmentation (assigning voxels to specific tissues).
- Generates detailed 3D masks for five brain structures and seven other head tissues.
Main Results:
- MR-TIM demonstrated superior accuracy in whole-head tissue segmentation compared to alternative methods.
- Validation was performed on diverse MR datasets, including healthy volunteers, patients, and an open-source template image.
Conclusions:
- MR-TIM provides highly realistic 3D head models essential for precise EEG source reconstruction.
- The toolbox is expected to promote broader adoption of EEG as a brain imaging technique due to increased modeling precision.
