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Viewing report
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Advances in Tomographic Imaging. Edition No. 1
VDM Publishing House, Oct 2008, Pages: 188
In tomographic imaging, information on inner
structures of a measured object is obtained
indirectly by reconstructing an image of the object
from its projections. In theory, image reconstruction
is an ill-posed problem making it challenging in
practice. The problem is trickier if some of the
projections are missing, such as in limited-view
tomography; or if the data are corrupted by object
motion during the acquisition, as can happen in
medical applications. The conventional way to treat
these problems is to reconstruct the projections
before further processing. In this book, we
concentrate on a novel mathematical stackgram
approach to deal with these problems. The concept
provides a technique to process the projection data
prior to image reconstruction. The book is the first
comprehensive work on the topic, providing insight
into the approach and its use in tomographic imaging,
and includes a compact, yet comprehensive,
introductory part to image reconstruction and the
applications in emission tomography. The book is
targeted to readers who have a basic knowledge of
signal processing or medical imaging. Also, the book
includes original publications for
scientific-oriented readers.
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