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University of Sydney
School of Mathematics and Statistics
Dr Monica K. Hurdal
Department of Mathematics, Florida State University, Tallahassee, Florida, USA
Approximating Discrete Conformal Mappings of the Human Brain using Circle Packings
Wednesday, 5th June, 2-3pm, Carslaw 173.
The human brain is composed of many folds and fissures which vary
considerably in their size and extent between individuals. It is also
known that most of the functional processing occurs on the surface of the
brain in the grey matter, of which 60-70% is hidden from view as it is
buried in the folds. This individual variability makes it very difficult
to compare different brains across subjects. As a result, there is great
interest among neuroscientists to unfold and flatten the cortical
surface, with the aim of comparing brain maps across individuals. It is
impossible to preserve linear or areal information when flattening a
surface with intrinsic curvature such as the brain. However, it is
possible to preserve conformal information. I will discuss a novel
computer realization of the Riemann Mapping Theorem which uses circle
packings to compute a discrete approximation of the conformal map of a
surface embedded in 3-space. A circle packing is a collection of tangent
circles representing a planar piecewise linear triangulated surface. These
maps exhibit conformal behavior in that angular distortion is controlled
and they can be created in the Euclidean and hyperbolic planes and on a
sphere. I will present results of some of the maps I have created of the
brain and discuss some of the topological and computational problems that
arise.
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