This book covers all the existing imaging modalities currently in use in imaging departments, providing a sound basis for understanding how individual systems work. It is designed to be accessible to students without minimising the content. Although conventional imaging is being phased out, it still exists in certain areas, e.g. dental surgeries, and therefore is reduced in size and placed in an Appendix. The text has been restructured in list form to increase clarity and aid study Pedagogic features include an introduction and summary for each chapter Glossaries of imaging terms and computer buzz words, and a key to commonly used abbreviations are included New edition is completely rewritten: Digital imaging is main focus CT, ultrasound, MRI and NMR imaging added 'Conventional' imaging retained as an Appendix Text simplified, and block diagrams, flow charts and tables added to increase accessibility of content

This book provides a complete overview of all modalities used for hand and wrist imaging, along with a complete overview of the various disease entities that can be diagnosed. As a state-of-the-art overview of hand and wrist imaging it is a reference work for radiologists, hand surgeons, orthopedists, traumatologists, rheumatologists and internists and their residents in training. The chapters are written by experts in musculoskeletal radiology from various European countries and the USA.

Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications.

Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

With cancer-related deaths projected to rise to 10.3 million people by 2020, the need to prevent, diagnose, and cure cancer is greater than ever. This book presents readers with the most up-to-date imaging instrumentation, general and diagnostic applications for various cancers, with an emphasis on lung and breast carcinomas--the two major worldwide malignancy types. This book discusses the various imaging techniques used to locate and diagnose tumors, including ultrasound, X-ray, color Doppler sonography, PET, CT, PET/CT, MRI, SPECT, diffusion tensor imaging, dynamic infrared imaging, and magnetic resonance spectroscopy. It also details strategies for imaging cancer, emphasizing the importance of the use of this technology for clinical diagnosis. Imaging techniques that predict the malignant potential of cancers, response to chemotherapy and other treatments, recurrence, and prognosis are also detailed.
Concentrates on the application of imaging technology to the diagnosis and prognosis of lung and breast carcinomas, the two major worldwide malignancies
Addresses the relationship between radiation dose and image quality
Discusses the role of molecular imaging in identifying changes for the emergence and progression of cancer at the cellular and/or molecular levels"

While many comprehensive texts have been written on the treatment of breast cancer, the most common cancer among women, there are relatively few which cover in depth the prevention and early detection of the disease. The goal of this work is to present what experts in the ?eld feel is the current knowledge and future direction of breast cancer prevention and early detection. We begin Part I of the book with a review of risk factors, both genetic and environmental. We next review progress in the use of chemoprevention. Notably, chemoprevention risk reduction studies have led to FDA approval of two medications which measurably reduce disease incidence among women at increased risk, although with some risk of treatment related side effects. Newer agents in the pipeline, which may also reduce risk among normal risk women, are also discussed. Surgical risk reducing strategies complete the section on prevention, including both the bene?ts and downsides to this more aggressive approach. Even with aggressive prevention strategies, some women will develop breast cancer. For these women, early detection is critical to minimize disease spread and maximize long term survival. Part II of this book reviews current and upcoming approaches to early detection. Imaging strategies, including mammography, breast ultrasound, MRI, and PET imaging are reviewed. The potential for molecular tumor targeting to detect disease prior to the formation of a mass visible by anatomic imaging is presented.

Detection and characterization of bone tumors with imaging remains a big challenge for every radiologist notwithstanding the impressive progress achieved by the introduction of several new imaging modalities. Moreover, new concepts in surgical and oncological treatment of these lesions require from the radiologist appropriate and focused answers to the specifc questions asked by the referring physicians in order to choose the best therapeutic approach for the in- vidual patient. Tis comprehensive textbook describes in detail the possibilities and limits of all moda- ties, including MRI, CT, nuclear medicine and interventional radiological procedures, employed for the modern imaging of tumoral and tumor-like lesions of bone. Teir role in the diagnosis, surgical staging, biopsy and assessment of response to therapy is discussed in detail, covering all tumor subtypes as well as their specifc anatomical location.Well selected and technically imp- cable illustrations strongly enhance the didactic value of this work. I am very much indebted and grateful to the three editors: A. Mark Davies, Murali Sundaram and Steven L. J. James, world authorities in musculoskeletal radiology, for their superb scientifc achievement in preparing and editing this wonderful volume as well as for their individual ch- ters. I would also like to thank the large international group of collaborating authors, who are also widely acknowledged for their specifc expertise in the area of bone tumors, for their outstanding contributions.

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.

Imaging in Oncology will serve as an up-to-date, attractive book of oncologic imaging for radiologists, oncologists, radiation therapists and others involved in oncologic care. This volume provides pertinent clinical and research information that underpins accurate interpretation and sensible use of cancer imaging. It reviews the role of established and upcoming techniques in plain radiography, ultrasound, CT, MR nuclear medicine, PET and PET/CT for oncologic imaging as well as image-guided intervention. The book also highlights new developments and advances in oncologic imaging. Imaging in Oncology will appeal to physicians in practice and in training and to all interested in oncologic imaging.

In this book the authors describe their original research on the potential of both standard and high-resolution electroencephalography (EEG) for analyzing brain activity in response to TV advertising. When engineering techniques, neuroscience concepts and marketing stimuli converge in one research field, known as neuromarketing, various theoretical and practical aspects need to be considered. The book introduces and discusses those aspects in detail, while showing several experiments performed by the authors during their attempts to measure both the cognitive activity and emotional involvement of the test subjects. In these experiments, the authors apply simultaneous EEG, galvanic skin response and heart rate monitoring, and show how significant variations of these variables can be associated with attention to, memorization or enjoyment of the presented stimuli. In particular, this book shows the central role of statistical analysis in recovering significant information on the scalp and cortical areas involved, along with variations of activity in the autonomous nervous system. From an economic and marketing perspective, the aim of this work is to promote a better understanding of how mass consumer advertising of (established) brands affects brain systems. From a neuroscience perspective, the broader goal is to provide a better understanding of both the neural mechanisms underlying the impact of affect and cognition on memory, and the neural correlates of choice and decision-making.

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The use of scintillating materials in the detection of ionising radiation for medical imaging is the main topic of this book. It starts with an overview of the state of the art in using radiation detectors for medical imaging, followed by an in depth discussion of all aspects of the use of scintillating materials for this application. Possibilities to improve the performance of existing scintillating materials and completely new ideas on how to use scintillating materials are discussed in detail. The first 4 chapters contain a general overview of the applications of radiation detectors in medicine and present a closer look at the 3 most important subfields, X-ray imaging, gamma ray imaging and PET. One chapter is devoted to semiconductor detectors, a promising new area, and two chapters are devoted to recent technical advances in PET. The remaining 5 chapters deal with scintillating materials and their use in medical imaging.

This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach. Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage. As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.

Comprised of two separate volumes, Neuroimaging provides a state-of-the-art review of a broad range of neuroimaging techniques applied to both clinical and research settings. The breadth of the methods covered is matched by the depth of description of the theoretical background. Part B covers the application of neuroimaging in both research and clinical settings for the study of anxiety disorders, dementia, depression, schizophrenia, functional somatic syndromes, stroke, and multiple sclerosis using a range of neuroimaging modalities including CT, PET, SPECT, DTI, structural MRI and fMRI. One chapter is devoted to the study of brain development using structural MRI, and one chapter to the study of pediatric neurobehavioral disorders using fMRI. One of the most exciting recent applications of neuroimaging to the area of genetics is covered, and with the theory and application of neuroreceptor imaging in psychiatry, forms the final two chapters.
The two parts of Neuroimaging complement each other providing in-depth information on a broad range of routine and cutting edge techniques that is not available in any other text. This book is superbly written and beautifully illustrated by contributors working at the top of their chosen specialty.
* Presents recent applications of neuroimaging to the area of genetics
* Discusses the study of brain development using structural MRI
* Includes chapters on the theory and application of neuroreceptor imaging in psychiatry

PNL is the gold standard for the management of large and/or otherwise complex renal stones. Since its introduction in the seventies PNL has undergone considerable evolution, mainly driven by the improvement in access techniques, endoscopic instrument technology, lithotripsy devices and drainage management. The conventional prone position for PNL has been challenged in the last two decades by a variety of modifications, including the supine and Galdakao-modified supine Valdivia positions, which make simultaneous retrograde working access to the collecting system possible and have proven anesthesiological advantages. The Galdakao-modified supine Valdivia position allowed the development of ECIRS (Endoscopic Combined IntraRenal Surgery), a technique exploiting a combined antegrade and retrograde approach to the upper urinary tract, using both rigid and flexible endoscopes with the related accessories. The synergistic teamwork of ECIRS provides a safe and efficient, minimally-invasive procedure for the treatment of all kinds of urolithiasis. The aim of this book is to share with the urologic community worldwide our experience, our standardization of all the steps, and tips and tricks for the procedure.

The field of medical imaging advances so rapidly that all of those working in it, scientists, engineers, physicians, educators and others, need to frequently update their knowledge in order to stay abreast of developments. While journals and periodicals play a crucial role in this, more extensive, integrative publications that connect fundamental principles and new advances in algorithms and techniques to practical applications are essential. Medical Image Processing: Techniques and Applications meets this challenge and provides an enduring bridge in the ever expanding field of medical imaging. It serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on medical applications. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It presents a detailed approach to each application while emphasizing insight and "tricks of the trade," and the applicability of techniques to other research areas. Although each chapter is written by an expert (or experts) in that area and is essentially self-contained, fundamental connections between the different topics are emphasized so that the book forms an integrated whole. The book is designed for end users who wish to update their skills and understanding with the latest techniques in image analysis. Providing unprecedented breadth and detail, it will be a valuable cross-disciplinary resource both at the graduate and specialist level. It is also well suited to supplement and motivate learning in graduate-level image processing classes within biomedical engineering, radiology and computer science.

This book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and, Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; and, detailed schemes, exercises and more advanced problems.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

This book presents a comprehensive overview of current state-of-the-art clinical physiological imaging of brain tumors. It focuses on the clinical applications of various modalities as they relate to brain tumor imaging, including techniques such as blood oxygen level dependent functional magnetic resonance imaging, diffusion tensor imaging, magnetic source imaging/magnetoencephalography, magnetic resonance perfusion imaging, magnetic resonance spectroscopic imaging, amide proton transfer imaging, high angular resolution diffusion imaging, and molecular imaging. Featuring contributions from renowned experts in functional imaging, this book examines the diagnosis and characterization of brain tumors, details the application of functional imaging to treatment planning and monitoring of therapeutic intervention, and explores future directions in physiologic brain tumor imaging. Intended for neuro-oncologists, neurosurgeons, neuroradiologists, residents, and medical students, Functional Imaging of Brain Tumors is a unique resource that serves to advance patient care and research in this rapidly developing field.

This textbook, intended for advanced undergraduate and graduate students, is an introduction to the physical and mathematical principles used in clinical medical imaging. The first two chapters introduce basic concepts and useful terms used in medical imaging and the tools implemented in image reconstruction, while the following chapters cover an array of topics such as physics of x-rays and their implementation in planar and computed tomography (CT) imaging; nuclear medicine imaging and the methods of forming functional planar and single photon emission computed tomography (SPECT) images and Clinical imaging using positron emitters as radiotracers. The book also discusses the principles of MRI pulse sequencing and signal generation, gradient fields, and the methodologies implemented for image formation, form flow imaging and magnetic resonance angiography and the basic physics of acoustic waves, the different acquisition modes used in medical ultrasound, and the methodologies implemented for image formation and flow imaging using the Doppler Effect. By the end of the book, readers will know what is expected from a medical image, will comprehend the issues involved in producing and assessing the quality of a medical image, will be able to conceptually implement this knowledge in the development of a new imaging modality, and will be able to write basic algorithms for image reconstruction. Knowledge of calculus, linear algebra, regular and partial differential equations, and a familiarity with the Fourier transform and it applications is expected, along with fluency with computer programming. The book contains exercises, homework problems, and sample exam questions that are exemplary of the main concepts and formulae students would encounter in a clinical setting.