Difference between revisions of "2010 Winter Project Week WM ATLAS"

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Implement tract-based morphometry pipeline in 3D Slicer, including atlas-based WM (white matter) segmentation and whole-brain WM coordinate system generation.  Investigate integration of FMRI+DTI into atlas pipeline, for neurosurgical planning applications.
 
Implement tract-based morphometry pipeline in 3D Slicer, including atlas-based WM (white matter) segmentation and whole-brain WM coordinate system generation.  Investigate integration of FMRI+DTI into atlas pipeline, for neurosurgical planning applications.
 +
 +
This work is based on: Tract-Based Morphometry for White Matter Group Analysis.
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Lauren J. O'Donnell, Carl-Fredrik Westin, and Alexandra J. Golby
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NeuroImage 45(3):832-844, 2009
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and
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Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas
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Lauren O'Donnell and Carl-Fredrik Westin
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IEEE Transactions in Medical Imaging 26(11):1562-1575, 2007
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
 
The original pipeline consists of (over a group):  
 
The original pipeline consists of (over a group):  
* preprocessing
+
* Preprocessing
 
** DTI and FA image calculation  
 
** DTI and FA image calculation  
 
** congealing registration of FA images  
 
** congealing registration of FA images  

Revision as of 17:23, 8 December 2009

Home < 2010 Winter Project Week WM ATLAS

Key Investigators

  • Lauren O'Donnell (Instructor, Harvard Medical School (BWH))
  • Carl-Fredrik Westin (Professor, Harvard Medical School (BWH) )
  • William Wells (Professor, Harvard Medical School (BWH) )
  • Alexandra J Golby (Professor of Neurosurgery, Harvard Medical School (BWH) )

Objective

Implement tract-based morphometry pipeline in 3D Slicer, including atlas-based WM (white matter) segmentation and whole-brain WM coordinate system generation. Investigate integration of FMRI+DTI into atlas pipeline, for neurosurgical planning applications.

This work is based on: Tract-Based Morphometry for White Matter Group Analysis. Lauren J. O'Donnell, Carl-Fredrik Westin, and Alexandra J. Golby NeuroImage 45(3):832-844, 2009 and

Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas

Lauren O'Donnell and Carl-Fredrik Westin IEEE Transactions in Medical Imaging 26(11):1562-1575, 2007

Approach, Plan

The original pipeline consists of (over a group):

  • Preprocessing
    • DTI and FA image calculation
    • congealing registration of FA images
    • whole-brain tract seeding
    • application of registration to tractography
  • EITHER atlas-based segmentation of tractography
  • OR atlas generation
    • clustering of (sample from) whole-brain tractography in group
    • expert labeling of clusters to give anatomical structures
    • the above produces an atlas that can be used to segment
  • analysis of segmented WM
    • optimal generation of tract-based coordinate systems per anatomical structure
    • export of cluster/structure based measurements (FA, etc)
    • some statistical analysis

The eventual goal is re-implementation of much of the above in the Slicer3 framework. This will enable use of the pipeline for neuroscience research and our future investigation of DTI+fMRI atlases for neurosurgery.

Progress

  • Preprocessing
    • work has begun on BatchMake modules for tensor calc and FA calculation in the group
    • some investigation of using congealing implementation in ITK from NAMIC SandBox to replace our current use of original code by Lilla Zollei