Study of brain complexity using information theory tools

Master thesis data

Title: Study of brain complexity using information theory tools

Master Specialization: Visualization, Virtual Reality and Graphic Interaction
Topic Aproval date: 18/02/09
Orientation: research

Student: Ester Bonmatí
Thesis advisor(s): Imma Boada, Miquel Feixas
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Thesis Description
Diffusion tensor imaging (DTI) has become a widely used technique in the investigation of brain structure and function since it allows in vivo identification of white and grey matter regions. DTI characterizes the water diffusion in tissue on a voxel by voxel basis representing the local diffuse behavior of water in a voxel by a second order symmetric positive tensor D. From this data white matter connectivity maps can be generated. The most popular technique to obtain white matter connectivity maps is the streamline tracing, also known as fiber tracking or tractography. Based on the connectivity maps our goal is to study brain complexity by using information theory tools and fiber clustering representations that group fibers according to anatomical regions.

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