Medical Image Analysis

Medical imaging expertise begins here...

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 medicalimaging, processing, analysis, and interpretation

Featuring skill-building MATLAB(R) 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.

Intelligent processing of multi-dimensional images has become crucial in conventional or computer-aided interpretation for radiological and diagnostic applications. This focused text provides the in-depth knowledge of the modalities used to acquire images for medical image reconstruction and processing and enables medical professionals to effectively select and develop the most appropriate image reconstruction and processing methods for accurate analysis and interpretation.

This thorough introduction to the acquisition of images and the intelligent interpretation and analysis of biomedical images discusses such essentials as:

• The interaction of the basic unit of imaging (such as protongs in MRI, or, x-ray photons in X-ray CT) in a biological environment
• Formation of a quantifiable signal representing the biological information
• etection and acquisition of the signal
• Appropriate image reconstruction

Featuring skill-building MATLAB exercises and end-of-chapter references, this text delivers an essential, top-to-bottom examination of medical imaging and helps you master the complexities of today's radiological and diagnostic applications. To view the MATLAB exercises, visit: ftp: //ftp.wiley.com/public/sci_tech_med/medical_image/