In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.

Fundamentals of Biomedical Image Processing

Part I: Image Formation
Fusion of PET and MRI for Hybrid Imaging
Cardiac 4D Ultrasound Imaging
Part II: Image Enhancement
Morphological Image Processing Applied in Biomedicine
Medical Image Registration
Part III: Feature Extraction and Selection
Multi-Scale and Multi-Orientation Medical Image Analysis
Feature Extraction and Selection for Decision Making
Part IV: Segmentation
Parametric and Non-Parametric Clustering for Segmentation
Region-Based Segmentation: Fuzzy Connectedness, Graph Cut and Related Algorithms
Model-Based Segmentation
Part V: Classification and Measurements
Melanoma Diagnosis
CADx Mammography
Quantitative Medical Image Analysis for Clinical Development of Therapeutics
Part VI: Image Data Visualization
Visualization and Diffusion MRI
Part VII: Image Management and Integration
Digital Imaging and Communications in Medicine
PACS-Based Computer-Aided Detection and Diagnosis
Content-Based Medical Image Retrieval
Part VIII: Evaluation and Customizing
Toolkits and Software for Developing Biomedical Image Processing and Analysis Applications
Image Processing and the Performance Gap.