Articles liés à 3-D Morphometry and Registration: Quantitative Analysis...

3-D Morphometry and Registration: Quantitative Analysis and Clinical Assessment in Diagnostic and Interventional Radiology - Couverture souple

Niculescu, Gabriela

 
9783639145977: 3-D Morphometry and Registration: Quantitative Analysis and Clinical Assessment in Diagnostic and Interventional Radiology
Couverture souple
ISBN 10 : 3639145976 ISBN 13 : 9783639145977
Editeur : VDM Verlag, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Gabriela Niculescu, PhD: Studied in the joint Biomedical Engineering program between Rutgers University & University of Medicine and Dentistry of NJ. Her research focuses on the design and implementation of new approaches in medical imaging, computer vision and computer-assisted diagnostics including tumor tracking and registration.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639145976
ISBN 13 
9783639145977
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
non disponible