Abstract

Magnetic Resonance (MR) Imaging is an emerging technique to examine the human brain in vivo. I will introduce several methods, including the three-dimensional (3D) fractal dimension (FD) analysis, gyrification index, shape index, and curvedness, for quantifying the morphological change of MR brain images. I will also introduce the small-world model to reveal the properties of brain network, namely, the degree, clustering coefficients, mean path length, etc.. The effectiveness of these methods will be demonstrated using the MR brain images from patients with multiple system atrophy of the cerebellar type (MSA-C), spinocerebellar ataxia (SCA), and bipolar disorder.

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