Handbook of Biometrical Image Analysis. Volume I. Segmentation Models. Part A

Издательство Kluwer Academic / Plenum Publishers, 2005. — 661 p.This book is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques.
This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry .
Key Features:
- Principles of intra-vascular ultrasound (IVUS)
- Principles of positron emission tomography (PET)
- Physical principles of magnetic resonance angiography (MRA).
- Basic and advanced level set methods
- Shape for shading method for medical image analysis
- Wavelet transforms and other multi-scale analysis functions
- Three dimensional deformable surfaces
- Level Set application for CT lungs, brain MRI and MRA volume segmentation
- Segmentation of incomplete tomographic medical data sets
- Subjective level sets for missing boundaries for segmentationA Basic Model for IVUS Image Simulation
Quantitative Functional Imaging with Positron Emission Tomography: Principles and Instrumentation
Advances in Magnetic Resonance Angiography and Physical Principles
Recent Advances in the Level Set Method
Shape From Shading Models
Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration
Improving the Initialization, Convergence, and Memory Utilization for Deformable Models
Level Set Segmentation of Biological Volume Datasets
Advanced Segmentation Techniques
A Region-Aided Color Geometric Snake
Co-Volume Level Set Method in Subjective Surface Based Medical Image Segmentation