Suggested Pipelines: Difference between revisions

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== Basic Synthetic Aperture Magnetometry Workflow ==
 
{{#mermain:graph LR
subgraph MRI Preprocessing
MRI["Structural MRI"] --> ortho["Processedhull(process MRI"]with orthohull);
hull --> ortho["Processed MRI"];
end
}}
 
{{#mermaid:graph LR
 
marks --> Covariance;
subgraph MRI Preprocessing
 
MRI["Structural MRI"] --> ortho["Processed MRI"];
subgraph MEG Preprocessing
ThresholdDetect --> filter[Basic Filtering];
filter --> marks[Create markersMarkers];
filter --> meg;
end
 
Line 16 ⟶ 27:
meg[MEG Data] --> Filter[Band-pass<br>filter];
Filter --> Covariance;
end
 
subgraph MEG Preprocessing
ThresholdDetect --> filter[Basic Filtering];
filter --> marks[Create markers];
end
 
Line 26 ⟶ 32:
 
{{#mermaid:graph LR
subgraph SAMSynthetic Aperture Magnetometry
Markers --> Beamformer;
Covariance --> Beamformer;
ortho[Processed MRI] --> Beamformer;

Revision as of 12:17, 2 March 2019

Basic Synthetic Aperture Magnetometry Workflow

{{#mermain:graph LR subgraph MRI Preprocessing

 MRI["Structural MRI"] --> hull(process with orthohull);
 hull --> ortho["Processed MRI"];

end }}

  1. Create covariance matrices using sam_cov.
  2. Compute beamformer weights with sam_wts.
  3. sam_3d uses the weights to compute volumetric images of activity estimates.
  4. View them with AFNI.
  5. It didn't work, go back and try again.
  6. Nope, still didn't work, try this instead.