Synopses & Reviews
Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.
Table of Contents
Principles of Image Generation.- Segmentation in Echocardiographic Images.- Cardiac Boundary Segmentation.- Brain Segmentation Techniques.- Segmentation for Multiple Sclerosis Lesion.- Finite Mixture Models.- MR Spectroscopy.- Fast WM/GM Boundary Estimation.- Digital Mammography Segmentation.- Cell Image Segmentation for Diagnostic Pathology.- Future in Segmentation.- Bibliography.- Index.