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The capacity to reliably track, model and
characterize morphometric changes in anatomic
structures and tumors from 3-D images sequences is
extremely valuable in staging disease progression and
assessing response to treatment. This book provides
the design and evaluation of two approaches to
facilitate clinical assessment in diagnostic
radiology. The first is a tool for performing
comparative morphological analysis of ventricles from
MR brain scans of patients with Bipolar Disorder
or Asperger''s Syndrome. Ventricles characterization
using low frequency elliptic Fourier descriptors
provides an accurate representation while allowing
for reliable group separation. The second is a finite
element model (FEM) deformable registration technique
of pre- and post-treatment CT images, to track and
quantify tumor response to radiofrequency ablation of
patients with liver malignancies. Advanced clinical
applications have become a critical component of the
work flow of radiologists as well as the team of
other clinicians. These models should be especially
useful for future algorithm development that directly
meet the requirements for a range of interventional
and diagnostic procedures.
characterize morphometric changes in anatomic
structures and tumors from 3-D images sequences is
extremely valuable in staging disease progression and
assessing response to treatment. This book provides
the design and evaluation of two approaches to
facilitate clinical assessment in diagnostic
radiology. The first is a tool for performing
comparative morphological analysis of ventricles from
MR brain scans of patients with Bipolar Disorder
or Asperger''s Syndrome. Ventricles characterization
using low frequency elliptic Fourier descriptors
provides an accurate representation while allowing
for reliable group separation. The second is a finite
element model (FEM) deformable registration technique
of pre- and post-treatment CT images, to track and
quantify tumor response to radiofrequency ablation of
patients with liver malignancies. Advanced clinical
applications have become a critical component of the
work flow of radiologists as well as the team of
other clinicians. These models should be especially
useful for future algorithm development that directly
meet the requirements for a range of interventional
and diagnostic procedures.