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Preface
A multitude of medical-imaging modalities are used to probe the human body. The richness of information provided by these techniques combined with the availability of computational resources have provided the basis for the development of precise and quantitative image-processing and -analysis methods, aiming to provide valuable tools in diagnostic medical-image interpretation. Such diagnostic tools can be dif- ferentiated into two categories: image-processing methods that enhance visual inter- pretation of digital images and image-analysis methods that provide automated quantitative tissue detection, delineation, measurements, and characterization.
This book is intended as a reference tool for medical physicists, biomedical engineers, computer scientists, electrical engineers, and radiologists involved in health-care delivery and research. It consists of 12 chapters. Chapters 1 to 5 present algorithms or aspects of algorithms that analyze images generated by a certain modality providing detection or diagnostic decisions, termed computer-aided diag- nosis (CAD). CAD represents one of the most successful paradigms of medicalimage analysis by incorporating most of the significant developments that have occurred in enhancement and segmentation of candidate features, in feature extrac- tion and classification, and in reduction or characterization of false positives.
Chapter 6 discusses a wavelet method for image enhancement.
Chapters 7 and 8 focus on segmentation methods. These methods—aimed at partitioning images into meaningful segments with respect to a certain task of identification of tissue structure, function, or pathology—are initial steps of auto- mated methods. They also have become essential in imaging modalities providing volumetric data.
Analysis involving multiple images, such as volumetric or serial imaging, requires derivation of spatial transformations to provide correspondence between homologous image points, with emphasis on data-driven optimized methods. A registration method is presented in Chapter 9.
Paradigms of the analysis methods used in bioinformatics and neurosciences are provided in Chapters 10 and 11, respectively.
Chapter 12 reviews the methodologies used to evaluate medical-image process- ing and analysis methods, an issue of critical importance for their optimization, selection, and clinical acceptance.
I wish to thank Dr. Alexander Poularikas, professor of electrical and computer engineering, University of Alabama in Huntsville, Alabama for offering me the oppor- tunity to edit this book; Michael Slaughter, CRC Press editor, for his guidance and patience as well as all members of our project editing team at CRC Press.
I also wish to thank Dr. Athanassios Skodras, professor of digital systems, Hellenic Open University, Greece, and Dr. Metin Akay, associate professor of engi- neering, Dartmouth College, Hanover, New Hampshire, for supporting my efforts at early and late phases of this project.
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