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Books > Computing & IT > Applications of computing > Image processing
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Discrete Tomography - Foundations, Algorithms, and Applications (Hardcover, 1999 ed.)
Loot Price: R4,282
Discovery Miles 42 820
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Discrete Tomography - Foundations, Algorithms, and Applications (Hardcover, 1999 ed.)
Series: Applied and Numerical Harmonic Analysis
Expected to ship within 18 - 22 working days
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Goals of the Book Overthelast thirty yearsthere has been
arevolutionindiagnostic radiology as a result
oftheemergenceofcomputerized tomography (CT), which is the process
of obtaining the density distribution within the human body from
multiple x-ray projections. Since an enormous variety of possible
density values may occur in the body, a large number of projections
are necessary to ensure the accurate reconstruction oftheir
distribution. There are other situations in which we desire to
reconstruct an object from its projections, but in which we know
that the object to be recon structed has only a small number of
possible values. For example, a large fraction of objects scanned
in industrial CT (for the purpose of nonde structive testing or
reverse engineering) are made of a single material and so the ideal
reconstruction should contain only two values: zero for air and the
value associated with the material composing the object. Similar as
sumptions may even be made for some specific medical applications;
for example, in angiography ofthe heart chambers the value is
either zero (in dicating the absence of dye) or the value
associated with the dye in the chamber. Another example arises in
the electron microscopy of biological macromolecules, where we may
assume that the object to be reconstructed is composed of ice,
protein, and RNA. One can also apply electron mi croscopy to
determine the presenceor absence ofatoms in crystallinestruc tures,
which is again a two-valued situation."
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