Individual Based Modeling Of Angiogenesis In
Three Dimensions On A Graphics Processing Unit
Author(s)
L. Parsonson & L. Bai
Abstract
Angiogenesis, the formation of de novo blood vessels, has been implicated
in a long list of human disorders, including cancer, diabetes, and in recent
years, neurodegenerative diseases, a list that continues to grow. Study of the
formation of microvasculature, therefore, has important implications in diagnosis
and treatment of diseases. This paper describes how we combine a CPUbased
Cellular Potts model of sprouting angiogenesis in three dimensions with
medical imaging techniques and graphics processing unit (GPU) accelerated fluid
dynamics equations to create an individual-based angiogenesis simulation. The use
of GPU, optimized for fast, highly parallel mathematical operations, provides an
increase in simulation speed and balances resource requirements across hardware.
Specifically, micro-CT scans of resin cast rat cerebral vasculature are segmented to
remove reconstruction artifacts and are imported to instantiate nascent endothelial
cells in a homogeneous three-dimensional grid that represents the area over which
the simulation is performed. A growth factor source is added, and simulation of
steady production and diffusion of the vascular endothelial growth factor (VEGF)
is performed on the GPU using the NVidia Compute Unified Device Architecture
(CUDA) programming platform. Motion of individual endothelial cells is then
tracked over the lifetime of the simulation towards the source of growth factor,
incorporating both sprouting and anastamosis events.
Keywords
Related Book
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