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Compare the performance of the mesh resolution vs the leadfield approximation | |
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v10, v1, v0.1 and v0.01 {{attachment:femMeshModels.JPG||height="400",width="700"}} v0.1 and V0.01 are almost the same .... difference appears on v10 {{attachment:sourceVsMeshResolution.JPG||height="400",width="700"}} in spherical head model same observation on the lf view {{attachment:lfview_v01andv001.JPG||height="400",width="700"}} difference appears on the v1 and worse for v10 |
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In this example we compute the head model for the ICBM head model using the openmeeg method and then we generate the fem mesh for the same subject, then we compute the the leadfield using the Duneuro method. | In this example we compute the head model for the ICBM head model using the openmeeg method and then we generate the fem mesh for the same subject, then we compute the the leadfield using the Duneuro method v = 0.1 default value. MNorm {{attachment:sourcelocalisation.JPG||height="400",width="700"}} sloreta {{attachment:sourcelocalisationloreta.JPG||height="400",width="700"}} {{attachment:sourcelocalisationloreta2.JPG||height="400",width="700"}} |
In this tutorial we will compare the performance of the BEM, FEM forward computation in basic model (realistic head model 3 layer) and also within in a spherical head model with an analytical solution.
Describe femVSbem here.
Compare the performance of the mesh resolution vs the leadfield approximation
v10, v1, v0.1 and v0.01
v0.1 and V0.01 are almost the same ....
difference appears on v10
in spherical head model
same observation on the lf view
difference appears on the v1 and worse for v10
EEG forward within 3 layers head model :
In this example we compute the head model for the ICBM head model using the openmeeg method and then we generate the fem mesh for the same subject, then we compute the the leadfield using the Duneuro method v = 0.1 default value. MNorm
sloreta