Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.

This text is designed for courses in medical imaging systems. It is also suitable for professionals seeking an overview of medical imaging systems. With signal processing as its foundation, Medical Imaging Signals and Systems, Second Edition covers the most important imaging modalities in radiology: projection radiography, x-ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. Organized into parts to emphasize key overall conceptual divisions, Medical Imaging is most appropriate for engineering students who have taken the prerequisite signals and systems courses as well as elementary probability. This program presents a better teaching and learning experience-for you and your students. Teach with a dynamic art program: The text's wealth of images and diagrams help students visualize key concepts. Capture students' attention: Motivational example problems both keep students focused and reveal interesting features. Use relevant material: Biologically relevant examples illustrate the important context of medical imaging.