Difference between revisions of "Suggested Pipelines"

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== Basic Synthetic Aperture Magnetometry Workflow ==
== Basic Synthetic Aperture Magnetometry Workflow ==

{{#mermain:graph LR
subgraph MRI Preprocessing
MRI["Structural MRI"] --> hull(process with orthohull);
hull --> ortho["Processed MRI"];
end
}}


{{#mermaid:graph LR
{{#mermaid:graph LR


marks --> Covariance;
subgraph MRI Preprocessing

MRI["Structural MRI"] --> ortho["Processed MRI"];
subgraph MEG Preprocessing
ThresholdDetect --> filter[Basic Filtering];
filter --> marks[Create Markers];
filter --> meg;
end
end


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meg[MEG Data] --> Filter[Band-pass<br>filter];
meg[MEG Data] --> Filter[Band-pass<br>filter];
Filter --> Covariance;
Filter --> Covariance;
end

subgraph MEG Preprocessing
ThresholdDetect --> filter[Basic Filtering];
filter --> marks[Create markers];
end
end


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{{#mermaid:graph LR
{{#mermaid:graph LR
subgraph SAM
subgraph Synthetic Aperture Magnetometry
Markers --> Beamformer;
Covariance --> Beamformer;
Covariance --> Beamformer;
ortho[Processed MRI] --> 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.