Medical Image Analysis

Now more than ever, accurate analysis and interpretation of radiological and diagnostic applications largely revolve around one process: medical imaging and computerized medical image analysis.

The complexity of this process–from instrumentation and computerized data collection to image reconstruction methods–calls for a specialized knowledge of image acquisition techniques. And gaining that specialized knowledge demands a resource like Medical Image Analysis.

An ideal learning tool for engineers, medical professionals, and students alike, this book not only covers the fundamentals of medical imaging, but also helps you develop the critical skills to perform intelligent interpretation along with analysis of biomedical images. These are skills that require more than a grasp of the physics of imaging and image formation. To navigate the intricacies of instrumentation and computer-aided data collection and image reconstruction, system integration is the key. In this benchmark text, author Atam Dhawan takes a unique, all-inclusive approach to medical imaging–one that weaves together medical physics, imaging, image processing, and advanced image analysis methods.

Medical Image Analysis includes state-of-the-art coverage of:

• Medical imaging modalities and their role in radiology and medicine
• The principles, instrumentation, and data acquisition methods of medical imaging, from X-ray radiograph imaging to ultrasound
• Image reconstruction algorithms used and investigated in different imaging modalities
• Two, three, and multi-dimensional methods for image visualization
• Recent breakthroughs in medical imaging, processing, analysis, and interpretation

Featuring skill-building MATLAB exercises and end-of-chapter references, Medical Image Analysis delivers an essential, top-to-bottom examination of medical imaging . . . and helps you master the complexities of today’s radiological and diagnostic applications.