Niculescu, G: 3-D Morphometry and Registration

The capacity to reliably track, model andcharacterize morphometric changes in anatomicstructures and tumors from 3-D images sequences isextremely valuable in staging disease progression andassessing response to treatment. This book providesthe design and evaluation of two approaches to facilitate clinical assessment in diagnosticradiology. The first is a tool for performingcomparative morphological analysis of ventricles fromMR brain scans of patients with Bipolar Disorder or Asperger's Syndrome. Ventricles characterizationusing low frequency elliptic Fourier descriptorsprovides an accurate representation while allowingfor reliable group separation. The second is a finiteelement model (FEM) deformable registration techniqueof pre- and post-treatment CT images, to track and quantify tumor response to radiofrequency ablation ofpatients with liver malignancies. Advanced clinicalapplications have become a critical component of thework flow of radiologists as well as the team ofother clinicians. These models should be especiallyuseful for future algorithm development that directly meet the requirements for a range of interventionaland diagnostic procedures.