Shape Analysis on Neuroimaging Data

Tanya Glozman

Introduction

Magnetic Resonance Diffusion Imaging coupled with tractography is a recent technique to estimate trajectories of white-matter neuronal tracts (fascicles) in the living human brain. Understanding the relationships between structure and function in the brain is a key interest in neuroscience. In this project we explored the efficacy of projections in describing the shape of two types of neuroimaging data: Structural MRI and Diffusion Weighted MRI coupled with tractography.

Methods

- Describe your algorithm or approach. 
- Detail any issues or problems that were particularly important. 
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- Describe the analysis in enough detail so that someone could understand and repeat your analysis. 
- What data and software did you use? What were the ideas of the algorithm and data analysis?

Results

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- The key aspect should be the most visible element of the figure or graph. Help the reader by writing a clear figure caption.

Conclusions

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References

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Appendix I

This project is ongoing. The data was acquired through collaboration with Dr. Franco Pestilli (for the connectome data )and Prof. Tony Norcia's group (for the structural MRI data. I am not free to share the data. Since we are hoping to publish the results of this work, we prefer to not share the code currently. Please email tanyagl@stanford.edu if you'd like to learn more.