Author Description

<p>Handbook of Biomedical Image Analysis: Registration Models (Volume III) is dedicated to the algorithms for registration of medical images and volumes. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, biomedical engineering, physicists covering different medical imaging modalities and researchers in applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry.</p> <p>Key Features:</p> <p>-- Medical image registration: theory, algorithms and case studies in surgical simulation, chest cancer, and multiple sclerosis</p> <p>-- Level sets for segmentation and registration for medical volumes</p> <p>-- Registration and non-rigid registration for pelvis and prostrate</p> <p>-- Cross-entropy, reversed cross-entropy, and symmetric divergence similarity measures for 3D image registration: a comparative study</p> <p>-- Stereo and temporal eye registration by mutual information maximization</p> <p>-- Quantification of brain aneurysm dimensions from CTA for surgical planning of coiling interventions</p> <p>-- Inverse consistent image registration</p> <p>-- A computer-aided design system for segmentation of volumetric images</p> <p>-- Inter-subject non-rigid registration: an overview with classification and the Romeo algorithm</p> <p>-- Elastic registration for biomedical applications</p> <p>-- Quo vadis, atlas-based segmentation</p> <p>-- Elastic registration for biomedical applications</p> <p>-- Future of image and volume registration techniques</p> <p>About the Editors:</p> <p>Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published ov