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This book is the culmination of approximately four years of study obtaining my PhD in mechanical engineering, modeling blood flow in the arteries of the human brain. Coming from an engineering background I found that I had very little knowledge of human anatomy, physiology, or medical imaging techniques. Furthermore, it seemed reasonable that there would not be many people possessing a deep knowledge of these fields, and the more engineering related fields of computational fluid dynamics and mathematical modeling. As a result this book contains reasonably detailed background information on all…mehr

Produktbeschreibung
This book is the culmination of approximately four
years of study
obtaining my PhD in mechanical engineering, modeling
blood flow
in the arteries of the human brain. Coming from an
engineering
background I found that I had very little knowledge
of human
anatomy, physiology, or medical imaging techniques.
Furthermore,
it seemed reasonable that there would not be many people
possessing a deep knowledge of these fields, and the
more
engineering related fields of computational fluid
dynamics and
mathematical modeling. As a result this book contains
reasonably
detailed background
information on all of the aforementioned fields, in
order to provide
the
novice with a well balanced understanding of all
aspects of this
modeling challenge. The actual body of work involves the
development of techniques to segment out the cerebral
arteries
from magnetic resonance imaging scans, and create the
computational meshes. In addition there is the
development of a
mathematical model of the physiological control
system known as
the
cerebral autoregulation mechanism, and the coupling
of this control
system to the computational fluid dynamics simulations.
Autorenporträt
was born in Christchurch New Zealand and undertook both his B.E
Hons, and PhD in Mechanical Engineering at the University of
Canterbury. His research
interests lie in computational fluid dynamics modeling of
arterial blood flow, and
software development for creating patient specific computational
models of the
human anatomy.