Piastra, Maria Carla: New finite element methods for solving the MEG and the combined MEG/EEG forward problem. 2019
Inhalt
- List of Figures
- List of Tables
- General Background
- The CG-FEM for Solving the MEG Forward Problem
- Basics of the CG-FEM
- Solving the EEG Forward Problem
- The Subtraction Approach
- The Partial Integration Approach
- Venant's Approach
- Solving the MEG Forward Problem
- Validation in Sphere Models
- Conclusions
- The DG-FEM for Solving the MEG Forward Problem
- Solving the EEG Forward Problem
- The Discrete Conservative Flux
- The Subtraction Approach
- The Partial Integration Approach
- Solving the MEG Forward Problem
- Validation in Sphere Models
- Proof of Concept in a Realistic Head Model
- Conclusions
- Comparison between CG- and DG-FEM
- EEG and MEG Sensitivity Maps based on FEM
- Materials and Methods
- Signal-to-Noise Ratio (SNR) mappings
- Noise estimation
- Finite element approach
- Head models
- Source spaces
- Visualization of the results
- Results
- Discussion
- Conclusions
- Appendix
- Volume Conductor Models
- Sources and Sensors
- Error Measures
- The Transfer Matrix Approach
- Implementation Aspects on Solving the MEG Forward Problem in duneuro
- Software Tools
- Bibliography