Project: Adaptive Core Streamline Definition in Diffusion MRI Tractography
Description
Diffusion MRI tractography has revolutionized our understanding of the human brain's structural connectivity by enabling the reconstruction of white matter pathways. Along-tract profiling, known as tractometry, provides valuable insights into the microstructural properties of individual bundles. However, defining a reliable core streamline representation, such as a skeleton, poses a significant challenge due to the varying size and shape of different bundles within the brain. This project aims to address this limitation by developing an interactive visualization software that allows users to dynamically select and adjust core streamline definitions based on tract topology.
A critical step in tractometry is the definition of a core streamline representation, such as a skeleton, that captures the essential characteristics of each white matter bundle. Traditional approaches use a fixed number of points or a distance threshold to create a core representation, assuming a uniform bundle size and shape. However, this assumption does not hold true for the intricate and complex architecture of the human brain.
The development of the visualization software will involve leveraging state-of-the-art techniques in data visualization, computational geometry, and interactive user interfaces.
Details
- Student
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PZPaul Zelina
- Supervisor
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Maxime Chamberland