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

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.