2008 Winter Project Week:Particle Correspondence DTI

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Particles on an inflated cortex - the color map shows the local sulcal depth measurements

Key Investigators

• UNC: Ipek Oguz, Martin Styner
• Utah: Josh Cates, Tom Fletcher, Ross Whitaker
• GE: Xiaodong Tao

Objective

We are working on a general framework for computing cortical correspondence in a population-based manner. This project is extending the entropy based particle system by letting the correspondence optimization driven by local measurements besides the spatial location of surface points.

The goal for the project week is to incorporate probabilistic connectivity maps computed from DTI images.

See our Project Page for more details.

Approach, Plan

Our approach is described by the references below. The main objective for this project week is to compute probabilistic connectivity maps from DTI images in a format that can be used in our entropy based particle framework. We also want to evaluate the resulting correspondence maps using fMRI data.

Progress

References

• Ipek Oguz, Joshua Cates, Thomas Fletcher, Ross Whitaker, Derek Cool, Stephen Aylward, Martin Styner, "Entropy-Based Particle Systems and Local Features for Cortical Correspondence Optimization," submitted to ISBI 2008.
• J. Cates, T. Fletcher, and R. Whitaker, "Entropy-based particle systems for shape correspondence," Mathematical Foundations of Computational Anatomy Workshop, MICCAI 2006, pp. 90–99, Oct. 2006.
• J. Cates, T. Fletcher, M. Styner, M. Shenton, and R. Whitaker, “Shape modeling and analysis with entropy-based particle systems,” in IPMI, 2007, pp. 333–345.