NA-MIC/Projects/Collaboration/SBIA UPenn

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Key Investigators

  • Ragini Verma, SBIA, UPenn <Ragini.Verma@uphs.upenn.edu>
  • Christos Davatzikos <Christos.Davatzikos@uphs.upenn.edu>
  • Yang Li <Yang.Li@uphs.upenn.edu>
  • Luke Bloy <lbloy@seas.upenn.edu>

Objective

To incorporate into Slicer, processing and analysis methods for DTI and HARDI being developed at the Section of Biomedical Image Analysis (SBIA), UPenn [1]. The main components will be plugins for DTI registration and manifold-based statistics followed by methods for HARDI registration and statistics.

Approach, Plan

  • DTI registration: has been developed in SBIA over a period of 2 years, mainly using in-house code (not in ITK). This will be incorporated as a plugin.
  • DTI Statistics: SPM-like package for statistics on the full tensor. The proposed format is again a plugin as it is based on code already existing in SBIA in C, C++.
  • HARDI registration: This is being developed in ITK, building on HARDI representation format currently under development
  • HARDI statistics: being developed in ITK

Progress

  • DTI Registration: plugin is ready and will be demonstrated

To do: Replace the affine registration component, help file, speed, version control

  • Need help with:

1. General representation for registration in ITK

2. Code for Demons DTI registration for comparison

3. Visualization: tensor glyphs and ODFs


References

This work was supported in part by NIH grants .

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