Biomedical Image Analysis

Statistical and Variational Methods

Aly A. Farag

• Publisher: Cambridge University Press
• Year: 2014
• Print ISBN: 9780521196796
• eBook ISBN: 9781139989138
• Topic: Technology & Engineering
• Subtopic: Engineering General
• Index: Technology & Engineering

Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding.

Table of contents

• Cover
• Half-title page
• Title page
• Copyright page
• Dedication
• Contents
• Preface
• Nomenclature
• 1 Overview of biomedical image analysis
• Part I Signals and systems, image formation, and image modality
• Part II Stochastic models
• Part III Computational geometry
• Part IV Variational approaches and level sets
• Part V Image analysis tools
• Index