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Handbook of Biomedical Image Analysis - Volume 3: Registration Models (Paperback, 2005 ed.)
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Handbook of Biomedical Image Analysis - Volume 3: Registration Models (Paperback, 2005 ed.)
Series: Topics in Biomedical Engineering. International Book Series
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Our goal is to develop automated methods for the segmentation of
thr- dimensional biomedical images. Here, we describe the
segmentation of c- focal microscopy images of bee brains (20
individuals) by registration to one or several atlas images.
Registration is performed by a highly parallel imp- mentation of an
entropy-based nonrigid registration algorithm using B-spline
transformations. We present and evaluate different methods to solve
the cor- spondence problem in atlas based registration. An image
can be segmented by registering it to an individual atlas, an
average atlas, or multiple atlases. When registering to multiple
atlases, combining the individual segmentations into a
?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision
fusion.
Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that
they achieve by performing experiments with electronic phantoms as
well as by comparing their outputs to a manual gold standard. The
present work is focused on the mathematical and computational t-
ory behind a technique for deformable image registration termed
Hyperelastic Warping, and demonstration of the technique via
applications in image regist- tion and strain measurement. The
approach combines well-established prin- ples of nonlinear
continuum mechanics with forces derived directly from thr-
dimensional image data to achieve registration. The general
approach does not require the de?nition of landmarks, ?ducials, or
surfaces, although it can - commodate these if available.
Representative problems demonstrate the robust and ?exible nature
of the approach. Three-dimensional registration methods are
introduced for registering MRI volumes of the pelvis and prostate.
The chapter ?rst reviews the applications, xi xii Preface
challenges, and previous methods of image registration in the
prostate.
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