Difference between revisions of "DBP2:UNC:Regional Cortical Thickness Pipeline"

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We would like to create an end-to-end application within Slicer3 allowing individual and group analysis of regional cortical thickness.
 
We would like to create an end-to-end application within Slicer3 allowing individual and group analysis of regional cortical thickness.
  
== Pipeline description (steps) ==
+
== General information ==
 +
 
 +
=== Pipeline description (steps) ===
  
 
Input: T1-weighted image
 
Input: T1-weighted image
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== Usage (Command Line) ==
+
=== Usage (Command Line) ===
  
 
Input:  
 
Input:  
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== Analysis on a small pediatric dataset ==
+
=== Analysis on a small pediatric dataset ===
  
 
Tests have been computed on a small pediatric dataset, including 2 years old and 4 years old cases
 
Tests have been computed on a small pediatric dataset, including 2 years old and 4 years old cases
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== In progress ==
+
=== In progress ===
:* Workflow for individual analysis
+
:* Workflow for individual analysis (Slicer3 external module using BatchMake)
  
== Future work ==
+
=== Future work ===
 
:* UNC Slicer3 external modules available on NITRIC
 
:* UNC Slicer3 external modules available on NITRIC
 +
:* pediatric atlas available to the community (XNAT?)
 
:* Workflow for group analysis
 
:* Workflow for group analysis

Revision as of 16:27, 12 August 2008

Home < DBP2:UNC:Regional Cortical Thickness Pipeline

Back to UNC Cortical Thickness Roadmap


Objective

We would like to create an end-to-end application within Slicer3 allowing individual and group analysis of regional cortical thickness.

General information

Pipeline description (steps)

Input: T1-weighted image

  • 1. Tissue segmentation
    • Tool: itkEMS (UNC Slicer3 external module)
  • 2. Skull stripping
    • Tool: SegPostProcess (UNC Slicer3 external module)
  • 3. Deformable registration of pediatric regional atlas
    • 3.1 Deformable registration of T1-weighted pediatric atlas
      • Tool: RegisterImages (Slicer3 module)
    • 3.2. Applying transformation to the parcellation map
      • Tool: ResampleVolume2 (Slicer3 module)
  • 4. Cortical Thickness
    • Tool: CortThick (UNC Slicer3 module)


Usage (Command Line)

Input:

  • 1. Tissue segmentation
  • 2. Skull stripping
  • 3. Deformable registration of pediatric regional atlas
    • 3.1 Deformable registration of T1-weighted pediatric atlas
    • 3.2. Applying transformation to the parcellation map
  • 4. Cortical Thickness


Analysis on a small pediatric dataset

Tests have been computed on a small pediatric dataset, including 2 years old and 4 years old cases

  • 2 Autistic cases
  • 1 developmental delay
  • 1 normal control


In progress

  • Workflow for individual analysis (Slicer3 external module using BatchMake)

Future work

  • UNC Slicer3 external modules available on NITRIC
  • pediatric atlas available to the community (XNAT?)
  • Workflow for group analysis