Difference between revisions of "2017 Winter Project Week/LORDWI"

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* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
 
* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
 
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
 
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
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* Consider if Slicer can be used in tandem for evaluation.
 
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Revision as of 15:23, 2 January 2017

Home < 2017 Winter Project Week < LORDWI

Key Investigators

  • Henrik Groenholt Jensen, UCPH
  • Lauren J. O'Donnell, BWH
  • Tina Kapur, BWH
  • Fan Zhang, BWH
  • Carl-Frederik Westin, BWH

Project Description

Objective Approach and Plan Progress and Next Steps
  • Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
  • Figure out what diffusion data is available (preferably data already evaluated by another registration model).
  • Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
  • Consider if Slicer can be used in tandem for evaluation.

Background and References