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Neuroanatomical Segmentation
Key Investigators
  - Sylvain Bouix (BWH)
 
  - Jarett Rushmore (Boston University)
 
  - Kyle Sunderland (Queen’s University)
 
  - Andras Lasso (Queen’s University)
 
Project Description
Objective
  - Design and create a dedicated neuroanatomy segmentation module
 
  - Adopt an approach for sulcal definition
 
Approach and Plan
  - Sulcal definition
    
      - Load freesurfer surfaces into Slicer
 
      - Using the white matter surfaces, draw two points in Slicer, each at the base of a sulcus
 
      - Connect the two points with a line at the bottom of the sulcus (i.e., a minimum value)
 
      - Assign the line to a specific sulcal identity (with it’s associated ontology, and related reference files)
 
    
   
  - Implement a constraint option for markups to force them to be on a surface (i.e. model node, segmentation, or another markup)
 
Progress and Next Steps
  - Custom module specific to neuroanatomical General Segmentation
    
      - Presented a mockup module
 
      - Most functionalities are already in Segment Editor
 
      - Plan is to modify the design to poptimize speed
 
      - Presented real-time histogram generation
 
    
   
  - New functionalities for Surface Assisted Cortical Parcellation
    
      - Identified requirements to draw lines in sulcal pits
 
      - Presented the underlying principles for cortical parcellation (cortical ribbon is being parcellted using a combination of fiducial landmarks representing a set of planes and sulcal lines)
 
    
   
Illustrations

Background and References