An up-to-date, concise, profound and generously illustrated survey of the complete field of medical imaging and image computing.

New to this edition:

The book is designed as per the present requirement of subject. It acquaints the students/readers with fundamental image processing concepts and methodologies for better understanding and more meaningful retrieval of information of the internal structure of human organs. In the book, various concepts of image processing are discussed for different modalities of medical imaging, such as CT, MRI, PET, and SPECT. The book covers various important topics such as Programming in MATLAB, Biomedical Imaging, Artificial Neural Network, and Image Processing. The chapters on image enhancement, segmentation, shape analysis, registration, visualization, and retrieval make this book very comprehensive and useful for the students/readers. The exercises and examples given in each chapter will be very helpful to better understand the topics and to do quick revision. KEY FEATURES 1. Artificial Neural Network in image processing is described briefly. 2. Different modalities of image processing are discussed in the book. 3. Shape theoretic approach of image processing is also discussed. 4. Chapters on Programming in MATLAB, Biomedical Imaging, ANN, Medical Image Modalities, Image Enhancement, Segmentation, Shape Analysis, Registration, Visualization, and Retrieval make the book very comprehensive. TARGET AUDIENCE 1. B.Tech/M.Tech CSE, IT, Engineering Physics, and Mathematics and Computing 2. MCA

Introduction Chapter 1 General radiography Chapter 2 Contrast agents and fluoroscopy Chapter 3 Computed tomography Chapter 4 Radionuclide imaging (incl. PET/CT) Chapter 5 Ultrasound Chapter 6 Magnetic Resonance Imaging Chapter 7 Balancing risk and benefit in diagnostic imaging Chapter 8 Requesting imaging investigations and understanding their results Chapter 9 Looking after those who need imaging investigations References Index

In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images

This new, comprehensive medical assisting text with supplemental materials provides an innovative, interactive, visual, well-written package focusing on the impact of managed care and current health care trends. It reflects a realistic perspective of the busy medical office environment in which today's medical assistants work. The book is logically organized to follow the way a patient moves through the medical office, from the time they check in at the front desk, to their clinical experience, and back to the front desk for checkout. Each chapter refers students to internet resources and is linked to various supplements for further study and practice.

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/

The 2nd Edition of TEXTBOOK OF DIAGNOSTIC IMAGING guides the reader through imaging modalities and their applications, stressing proven methods of clinical assessment and the essential correlation between imaging and pathophysiology. More than 4500 carefully selected images from all modalities depict anatomic landmarks and diagnostic features in clear detail.