Quantitative coronary angiography has become an invaluable tool for the interventional cardiologist, providing objective and reproducible measurements of coronary artery dimensions, which can be used to study progression or regression of coronary atherosclerosis, as well as the immediate and long term effects of percutaneous interventions. Until recently, this powerful imaging technology was confined to a small number of so-called high level institutions. Fortunately, with the development of digital cardiac imaging equipment and adaptation of cine-angiographically based computer software for on-line use in the catheterization room, quantitative coronary angiography is now available to all interventionalists. This book is a timely guide for the impending QCA user, providing practical as well as theoretical and scientific information. A comprehensive evaluation of the clinical usefulness of QCA is covered, from the fundamental principles through experimental validation studies, application to clinical trials of a wide range of pharmacological and interventional therapies in the full spectrum of clinical presentation of coronary disease syndromes, evaluation of the therapeutic efficacy of various new devices for coronary intervention, together with extensive presentation of its physiological, functional and anatomical correlations, by comparison with other intracoronary measurement and imaging techniques. In addition, evolving theories and concepts in the ever topical restenosis phenomenon' after percutaneous intervention, based on serial QCA studies, are presented and discussed and a potentially unifying methodological approach to further study of this ubiquitous problem is offered. Thisbook, thanks to the collaboration of many experts in the field of intracoronary imaging and measurement, provides stimulating, interesting and practical information, both for the academic scientist and practising clinician.

A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB (R)/Octave scripts with image data and illustrations on downloadable resources or companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction. This Second Edition of the bestseller: Contains two brand-new chapters on clinical applications and image-guided therapy Devotes more attention to the subject of color space Includes additional examples from radiology, internal medicine, surgery, and radiation therapy Incorporates freely available programs in the public domain (e.g., GIMP, 3DSlicer, and ImageJ) when applicable Beneficial to students of medical physics, biomedical engineering, computer science, applied mathematics, and related fields, as well as medical physicists, radiographers, radiologists, and other professionals, Applied Medical Image Processing: A Basic Course, Second Edition is fully updated and expanded to ensure a perfect blend of theory and practice.

Biomedical imaging enables physicians to evaluate areas of the body not normally visible, helping to diagnose and examine disease in patients. ""The Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications"" includes recent state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice. This ""Handbook of Research"" provides readers with an overview of the emerging field of image-guided medical and biological decision support, bringing together various research studies and highlighting future trends. It includes: 30 authoritative contributions by over 90 of the world's leading experts on diagnostic imaging and biomedical applications from 9 countries; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; and, more than 1,200 references to existing literature and research on diagnostic imaging and biomedical applications. A compendium of over 200 key terms with detailed definitions, this book is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It features cross-referencing of key terms, figures, and information pertinent to diagnostic imaging and biomedical applications.

This atlas comprises a complete and extensive exposure of the spatial and temporal aspects of human cardiac development as seen with scanning electron microscopy. Apart from serving as a unique overview on cardiac development in the human embryo, this atlas gives an updated morphological reference of cardiac embryology for topographic correlation and enables the projection of experimental results in animals to the human situation.

"Decision Making in Radiation Oncology" is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that a picture is worth a thousand words. Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded gold standard treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice."

The spectrum of occupational and environmental diseases has changed markedly in recent years. New industrial processes have led to the production and use of a wide range of chemicals, metals, and alloys, an increasing number of which have been reported to cause interstitial lung disease in exposed workers. Thus, while the workforce in coal mining and asbestos handling has decreased, new groups of workers are at risk of exposure to agents potentially responsible for pneumoconiosis. This well-illustrated book, written by internationally acclaimed experts, provides a comprehensive approach to modern imaging of environmental and occupational diseases of the chest. The first part of the book addresses the basic knowledge required to understand imaging in this context, while the second focuses on the imaging results achieved in a variety of specific disorders. There is particular emphasis on thin-section computed tomography since this technique facilitates the detection of early subclinical abnormalities.

Magnetic Resonance Imaging is a very important clinical imaging tool. It combines different fields of physics and engineering in a uniquely complex way. MRI is also surprisingly versatile, 'pulse sequences' can be designed to yield many different types of contrast. This versatility is unique to MRI. This short book gives both an in depth account of the methods used for the operation and construction of modern MRI systems and also the principles of sequence design and many examples of applications. An important additional feature of this book is the detailed discussion of the mathematical principles used in building optimal MRI systems and for sequence design. The mathematical discussion is very suitable for undergraduates attending medical physics courses. It is also more complete than usually found in alternative books for physical scientists or more clinically orientated works.

This book provides a detailed and comprehensive overview of the role of diagnostic imaging in the assessment and management of trauma and polytrauma in children. The coverage includes imaging of injuries to the head, thorax, abdomen, bone and musculoskeletal system, with careful attention to the newest imaging techniques, imaging during the course of recovery and imaging of complications. A series of illustrative cases underline the prognostic value of imaging. In addition, an individual chapter is devoted to diagnostic imaging in cases of child abuse. The book concludes by discussing informed consent and medicolegal issues related to the imaging of pediatric traumatic emergencies. "Imaging Trauma and Polytrauma in Pediatric Patients "will be invaluable in enabling radiologists and clinicians to identify the main features and signs of injuries on a wide range of imaging techniques, including X-ray, ultrasonography, computed tomography and magnetic resonance imaging.

Recent advances in technology have opened up new possibilities in the diagnosis and treatment of cerebrospinal vascular diseases. It is now possible to use magnetic resonance imaging to map brain function and metabolism as an aid to diagnosis. Novel applications of magnetic resonance angiography allow three-dimensional imaging, and the magnetization transfer contrast technique gives us a new window on cerebral vascular function. This volume presents work in all these fields as well as previewing the techniques of endovascular surgery for cerebrospinal vascular diseases. These include modern stereotactic radiosurgery for arteriovenous malformations and for angiographically occult vascular malformations of the brain. This book presents an overview of the latest applications of technology to this rapidly developing and challenging field.

Cardiac ultrasound has rapidly developed into one of the most important clinical methods for diagnosis and follow-up of patients with heart disease and has changed the practice of cardiology permanently. In addition to improving image quality, most of the progress relies on digital image acquisition, storage, and quantitative analysis equipment. Automatic endocardial detection and three- dimensional reconstruction are now being developed. The progress with contrast echocardiography for myocardial perfusion imaging and results with tissue characterization is slow, but ever increasing, illustrating that the full potential of the method has not yet been explored. All of these digital techniques are extensively dealt with in this volume. Computerized tools will help the clinical cardiologists in their daily practice and stimulate further development to gen- uinely improve patient care in the coming years. We wish to thank the authors to this volume for their excellent contribution and Mrs. T. van der Kolk for secretarial assistance. IX Contributors F. J. ten Cate Thorax Center, Erasmus University, P. O. Box 1738, 3000 DR Rotterdam, The Netherlands R. Erbel II Medical Clinic, Johannes Gutenberg University, Langenbeckstr. 1, P. O. Box 3960, D-6500 Mainz, FRG Co-authors: R. Zotz, B. Henkel, G. Schreiner, C. Steuernagel, R. Zahn, H. Kopp, W. Clas, R. Brennecke, P. Schweizer, J. Meyer S. B. Feinstein Division of Cardiology, Box 44, University of Chicago, 950 East 59th Street, Chicago, IL 60637, USA D. G. Gibson Department of Cardiology, Brompton Hospital, Fulham Road, London SW3 6HP, UK Co-author: R. B. Logan Sinclair E.

The sixteen chapters included in this book were written by invited experts of international recognition and address important issues in Medical Image Processing and Computational Vision, including: Object Recognition, Object Detection, Object Tracking, Pose Estimation, Facial Expression Recognition, Image Retrieval, Data Mining, Automatic Video Understanding and Management, Edges Detection, Image Segmentation, Modelling and Simulation, Medical thermography, Database Systems, Synthetic Aperture Radar and Satellite Imagery.

Different applications are addressed and described throughout the book, comprising: Object Recognition and Tracking, Facial Expression Recognition, Image Database, Plant Disease Classification, Video Understanding and Management, Image Processing, Image Segmentation, Bio-structure Modelling and Simulation, Medical Imaging, Image Classification, Medical Diagnosis, Urban Areas Classification, Land Map Generation.

The book brings together the current state-of-the-art in the various multi-disciplinary solutions for Medical Image Processing and Computational Vision, including research, techniques, applications and new trends contributing to the development of the related areas.

Proceedings of a workshop sponsored by the European Community and organized in Brussels, Belgium, October 1988 by the U. of Louvain Medical School, discuss problems related to the study of receptors and energy metabolism, particularly in relationship with the compartmental analysis and the modelling

Pixel detectors are a particularly important class of particle and radiation detection devices. They have an extremely broad spectrum of applications, ranging from high-energy physics to the photo cameras of everyday life. This book is a general purpose introduction into the fundamental principles of pixel detector technology and semiconductor-based hybrid pixel devices. Although these devices were developed for high-energy ionizing particles and radiation beyond visible light, they are finding new applications in many other areas. This book will therefore benefit all scientists and engineers working in any laboratory involved in developing or using particle detection.

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

This volume gives a survey on mathematical and computational methods in image registration. During the last year sophisticated numerical models for registration and efficient numerical methods have been proposed. Many of them are contained in this volume. The book also summarizes the state-of-the-art in mathematical and computational methods in image registration. In addition, it covers some practical applications and new directions with industrial relevance in data processing.

The present work is the second in a series constituting an extension of my doctoral thesis done at Stanford in the early 1970s. Like the earlier work, The Reciprocal Modular Brain in Economics and Politics, Shaping the Rational and Moral Basis ofOrganization, Exchange, and Choice (Plenum Publishing, 1999), it may also be considered to respond to the call for consilience by Edward O. Wilson. I agree with Wilson that there is a pressing need in the sciences today for the unification of the social with the natural sciences. I consider the present work to proceed from the perspective of behavioral ecology, specifically a subfield which I choose to call interpersonal behavioral ecology th Ecology, as a general field, has emerged in the last quarter of the 20 century as a major theme of concern as we have become increasingly aware that we must preserve the planet whose limited resources we share with all other earthly creatures. Interpersonal behavioral ecology, however, focuses not on the physical environment, but upon our social environment. It concerns our interpersonal behavioral interactions at all levels, from simple dyadic one-to-one personal interactions to our larger, even global, social, economic, and political interactions.

Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks.

Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate.

The intended readership is students and researchers from many disciplines, including neuroscience, biology, physics, and computer science, interested in how an interdisciplinary framework from biology advanced statistics and computational neuroscience can be used to gather a quantitative understanding of cortical function. Experimentalists may gain insight into statistical and neuronal modeling techniques, whereas theoreticians will find an introductory treatment of neuroanatomy, neurophysiology, and measurement techniques.

A half century after its invention, and after several waves of optimism and pessimism, holography is now poised to achieve widespread application. Holograms are now being used as tools in many industries, from heads-up displays in aircraft to directing interconnections in massively parallel computing. Acoustic holograms can provide three-dimensional images of internal organs without surgery or dangerous radiation, and holography forms the basis of several other forms of nondestructive testing. This book provides both a review of the development of the field and of the applications likely to be important in the 21st century. It begins with a review by Emmett Leith, one of the inventors of holography - or re-inventors, after Denis Gabor's original work in 1947. Two chapters discuss the frontiers of holographic imaging, including color holograms and stereographic movies. Several subsequent chapters describe novel methods of forming and viewing holographic images, including the use of low-coherence sources or even computers to generate the holograms. The book concludes with a sampling of new applications of holography, including its uses in improving the efficiency of solar cells, in nondestructive testing, in improving the coherence properties of light, in data storage, and in investigations of fundamental physics.

In recent decades, the use of neuroimaging techniques has resulted in outstanding progress in the diagnosis and management of neurological diseases, and this is particularly true of those diseases that affect the white matter of the brain and spinal cord. This book, written by internationally acclaimed experts, comprises a series of comprehensive and up-to-date reviews on the use of MR imaging in these major neurological conditions. The diverse available MR techniques, such as magnetization transfer MRI, diffusion-weighted MRI, MR spectroscopy, functional MRI, cell-specific MRI, perfusion MRI, and microscopic imaging with ultra-high field MRI, offer an extraordinarily powerful means of gaining fundamental in vivo insights into disease processes. The strengths and weaknesses of all these techniques in the study of multiple sclerosis and other relevant diseases are extensively considered. After an introductory section on neuroimaging technology, subsequent sections address disorders of myelination, demyelinating diseases, immune-mediated disorders, and white matter disorders related to aging and other conditions. This book provides a valuable summary of the state of the art in the field, and defines important areas for future research.

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing, computer vision, and pattern analysis techniques to biomedical images, such as adding objective strength and improving diagnostic confidence through quantitative analysis. The book focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis, rather than on the imaging equipment and imaging techniques. Each chapter addresses several problems associated with imaging or image analysis, outlining the typical processes, then detailing more sophisticated methods directed to the specific problems of interest. Biomedical Image Analysis is useful for senior undergraduate and graduate biomedical engineering students, practicing engineers, and computer scientists working in diverse areas such as telecommunications, biomedical applications, and hospital information systems.

The current generation of imaging nanoparticles is diverse and dependent on its myriad of applications. This book provides an overview of how these imaging particles can be designed to fulfill specific requirements for applications across different imaging modalities. It presents, for the first time, a comprehensive interdisciplinary overview of the impact nanoparticles have on biomedical imaging and is a common central resource for researchers and teachers.