Foreword

The development of medical imaging over the past three decades has been truly revolutionary. For example, in cardiology specialized three-dimensional motion estimation algorithms allow myocardial motion and strain measurements using tagged cardiac magnetic resonance imaging. In mammography, shape and texture analysis techniques are used to facilitate the diagnosis of breast cancer and assess its risk. Three-dimensional volumetric visualization of CT and MRI data of the spine, internal organs and the brain has become the standard for routine patient diagnostic care.

What is perhaps most remarkable about these advances in medical imaging is the fact that the challenges have required significant innovation in computational techniques for nearly all aspects of image processing in various fields. The use of multiple imaging modalities on a single patient, for example MRI and PET, requires sophisticated algorithms for image registration and pattern matching. Automated recognition and diagnosis require image segmentation, quantification and enhancement tools. Algorithms for image segmentation and visualization are employed broadly through many applications using all of the digital imaging modalities. And finally, the widespread availability of medical images in digital format has spurred the search for efficient and effective image compression and communication methods.

Advancing the frontiers of medical imaging requires the knowledge and application of the latest image manipulation methods. In Handbook of Medical Imaging, Dr. Bankman has assembled a comprehensive summary of the state-of-the-art in image processing and analysis tools for diagnostic and therapeutic applications of medical imaging. Chapters cover a broad spectrum of topics presented by authors who are highly expert in their respective fields. For all those who are working in this exciting field, the Handbook should become a standard reference text in medical imaging.

William R. Brody President, John Hopkins University iX

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