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Non-Rigid 3D SPECT/CT Image Registration. Edition No. 1 - Product Image

Non-Rigid 3D SPECT/CT Image Registration. Edition No. 1

  • ID: 1905247
  • October 2008
  • 96 Pages
  • VDM Publishing House

For the clinical diagnosis of myocardial perfusion
images there is a need to register 3D datasets
originating from different modalities. CT datasets
provide good resolution of anatomic structures and
are needed for attenuation and scatter
correction during the process of SPECT image
reconstruction. It is mandatory for this process to
have CT and SPECT 3D volumes realigned properly so
that reconstruction algorithms can provide physicians
with valuable data. Several rigid registration
techniques are implemented in commercial solutions for
hospitals. These techniques cannot take into account
any non-rigid deformations, which may occur e.g.
because of respiratory motion, the beating of the
heart or shifts of the patient. This book shows the
use of integrating a
non-rigid registration approach into the process of
reconstructing SPECT datasets of the myocardium. The
results of the
optimization of this process, as well as its
application to clinical images are discussed.
Besides an overview of related works and patents in
the field of non-rigid image registration, this book
presents the theoretic background needed to
understand the concepts and methods behind this kind
of registration.

Björn Eskofier.
Björn Eskofier, Dipl.-Ing.: studied Electrical, Electronic and
Communication Engineering at the Friedrich-Alexander
University of Erlangen-Nuremberg. Currently he is a researcher at
the Chair of Pattern Recognition, Erlangen, in the Digital Sports
group.

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