The definite treatment ofaortic disorders goes back to the resection ofisthmic coarctation by Clarence Crafoord in 1944. It took another third of a century until all portionsofthe aortabecameaccessible to highly standardized surgery. This progress, delayed as it was in relation to most other cardiovascular in- terventions, depended on the availability of safe protective methods for the heart and central nervous system, of reliable vascular grafts and atraumatic instruments, novel suture material and tissue adhesives. The development ofadvanced surgical techniques went hand in hand with, and depended upon, the emergence of proper diagnostic tools, starting with aortography andultimately culminating inCT-scanning, transesophageal echo- cardiography and magnetic resonance imaging. These tools now allow for the rational planning and conductofany aortic intervention which may be surgical or, more recently, catheter-guided. Nienaber's and Fattori's new book aptly is addressing both the diagnos- tic procedure as well as the treatment of aortic disease. The authors are well known experts in the fields of advanced diagnostics of aortic pathology, both spearheading a remarkably innovative group of aortic interventionalists as well. On account of their expertise, their chapters are able to answer any question rising in conjunction with these subjects.

A definitive resource, The ESC Textbook of Cardiovascular Imaging, second edition provides extensive coverage of all cardiovascular imaging modalities. Produced in collaboration with the European Association of Cardiovascular Imaging with contributions from specialists across the globe and edited by a distinguished team of experts, it is a 'state of the art' clinically-orientated imaging reference. Now fully revised and updated with the latest imaging techniques and technology and covering even more conditions than before, it not only discusses the principles of individual modalities but also clearly demonstrates the added value each technique can bring to the treatment of all cardiac diseases. Richly illustrated with colour figures, images, and tables and using a wealth of newly available evidence to link theory to practice, it demonstrates how these techniques can be used in the diagnosis of a range of cardiovascular diseases. Learning how to apply them in practice is made easy with free access to videos and imaging loops online along with the full text so that it is always available, even when on the move. Impressive in scope, The ESC Textbook of Cardiovascular Imaging contains information on cutting-edge technical developments in echocardiography, CT, CMR and hybrid imaging and well imaging's current role in cardiac interventions, such as identifying cardiac structures, helping to guide procedures and exclude possible complications. The application of imaging modalities in conditions such as valvular and coronary heart disease, heart failure, cardiomyopathies, peri-myocardioal disease, adult congenital heart disease and aortic disease, is also extensively considered. From discussion on improved imaging techniques and advances in technology, to guidance and explanation of key practices and theories, this new edition of The ESC Textbook of Cardiovascular Imaging is the ideal reference guide for cardiologists and radiologists alike. This print edition of The ESC Textbook of Cardiovascular Imaging comes with access to the online version on Oxford Medicine Online, for as long as the edition is published by Oxford University Press. By activating your unique access code, you can read and annotate the full text online, follow links from the references to primary research materials, and view, enlarge and download all the figures and tables.

Prominent physicians review past, current, and future applications of the many powerful imaging techniques now used in the diagnosis, staging, treatment, and outcomes assessment of cancers of the prostate, central nervous system (CNS), and breast. Topics range from the use of screening mammography and approaches to breast cancer detection using MRI to improved visualization of the prostate gland from transrectal ultrasound and MRI, to MRI-guided resection of neoplasms.

Basic Guide to Dental Radiography provides an essential introduction to radiography in the dental practice. Illustrated throughout, this guide outlines and explains each topic in a clear and accessible style. * Comprehensive coverage includes general physics, principles of image formation, digital image recording, equipment, biological effects of x-rays and legislation * Suitable for the whole dental team * Illustrated in full colour throughout * Ideal for those completing mandatory CPD in radiography * Useful study guide for the NEBDN Certificate in Dental Radiography, the National Certificate in Radiography or the Level 3 Diploma in Dental Nursing

This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 - IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

- 'Big' book has sold close to 1400 in just over a year and is maintaining high rate of sale.

- This practical handbook fully explains the essentials of this state-of-the-art technique to radiologists, gastroenterologists, radiology residents, and technologists.

- Makes the key chapters of the big book accessible and affordable to the resident.

The discovery of the x-ray in 1895 proved to be one of the most transformative breakthroughs in the history of science. It ushered in a new era in medicine, allowing physicians and patients to peer inside the living human body, without the use of a scalpel, to assess health and diagnose diseases. The x-ray opened up the world of the very small, allowing us to determine the structure of the molecules of which we are made. It also revealed the true nature of the largest and oldest objects in the universe, including the universe itself. Today it has spawned amazing new imaging techniques, including ultrasound, CT scanning, MR imaging, and nuclear medicine, which have opened up remarkable new windows on the structure and function of the human body. This book recounts the stories of the remarkable physicians and scientists who developed these new imaging technologies. It tells the stories of real patients whose lives have been touched, transformed, and in many cases saved by medical imaging. And it shines new light on the surprising ways x-rays have transformed our view of ourselves and the world we inhabit. Richly illustrated with both historical images and imaging studies of real patients, X-ray Vision is a feast for the eyes as well as the mind.

A range of cardiac imaging techniques are available, each with a unique approach. Most existing imaging books are predominantly modality focused; however today's clinical cardiologist needs to learn how to apply and integrate information from the different modalities to aid clinical decision-making.
In full colour throughout, and based on European Society of Cardiology guidelines, Cardiac Imaging is an essential resource for all clinical trainees, It provides practical hands-on advice for cardiology, medical, radiology and technical personnel who need easily accessible, detailed information on how to use the full range of imaging modalities to investigate cardiac disease. The handbook provides a comparative overview of the different techniques and how they can be applied in different pathologies, acting as a portal to more in-depth, modality focused texts.

Introduces both optical microscopy and medical imaging with an emphasis on recurring themes such as resolution and contrast to reinforce understanding. Includes many illustrations and boxed material that give more detailed explanations. Features hands-on activities and experiments. Provides end-of-chapter problems for self-study. Offers supplementary online materials including a solutions manual.

Recent years have seen remarkable advances in the devel- ment of techniques that have direct applications in neurological research. In consequence, the circulatory and metabolic status of the brain can be measured and correlated with changes m structure often noninvasively, m the same - and integrated function, perimental subIect This has stimulated an increased awareness of the complexity, under normal and pathological conditions, of the interdependence of these factors. Through the application of the methods described in this volume, however, these complexities can now be analyzed. The chapters m this volume present methodological - scriptions of some of the most powerful "physicochemical" methods for studymg the brain. Multidisciplmary teams are - quired to develop some of these methods, which are extremely expensive m terms of capital equipment costs and technological personnel support Thus, they will likely remain restricted to malor medical research centers Nevertheless, many recent concepts of brain responses to disease are a result of their application We have been fortunate m convincing active, leading sci- tists to contribute to this volume. The descrrptions of the basic prmciples of each method, and its applications and limitations, are derived primarily from their personal experiences. The first two chapters (Rowan, Auer) deal with methods for assessing brain hemodynamics. The two subsequent chapters (Greenberg; He- covitch) describe autoradiography and positron emission tomog- phy techniques, which provide quantitative measurements of brain metabolism as well as blood flow.

All you need to successfully undertake a research project

This exciting new book provides radiography students and practitioners with the key skills and strategies required to undertake research within medical imaging and radiotherapy. Quantitative and qualitative research methods are covered and guidance given on the entire research process - from literature researching, information management and literature evaluation, through to data collection, data analysis and writing up. Specific instruction is given on the structure and presentation of dissertations, writing articles for publication and on presentation skills for presenting at conferences.

FEATURES

Tailored to meet the specific needs of radiography students plus practitioners undertaking research

Includes practice tips and pitfalls to avoid

Covers how to apply for research funding for larger scale projects

Practical examples throughout clarify the concepts

Accompanying EVOLVE website

EVOLVE website

An accompanying website includes interactive examples of how to use the statistics tests discussed within the text.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Volumetric, or three-dimensional, digital imaging now plays a vital role in many areas of research such as medicine and geology. Medical images acquired by tomographic scanners for instance are often given as a stack of cross-sectional image slices. Such images are called ‘volumetric’ because they depict objects in their entire three-dimensional extent rather than just as a projection onto a two-dimensional image plane. Since huge amounts of volumetric data are continually being produced in many places around the world, techniques for their automatic analysis become ever more important. Written by a computer vision specialist, this clear, detailed account of volumetric image analysis techniques provides a practical approach to the field including the following topics:

• preprocessing of volumetric images
• obtaining quantitative measurements in volumetric images
• detection and modelling of objects in volumetric images

The biomedical sciences have recently undergone revolutionary change, due to the ability to digitize and store large data sets. In neuroscience, the data sources include measurements of neural activity measured using electrode arrays, EEG and MEG, brain imaging data from PET, fMRI and optical imaging methods. Analysis, visualization and management of these time series data sets is a growing field of research that has become increasingly important both for experimentalists and theorists interested in brain function. Written by investigators who have played an important role in developing the subject and in its pedagogical exposition, the current volume addresses the need for a textbook in this interdisciplinary area. The book is written for a broad spectrum of readers ranging from physical scientists, mathematicians and statisticians wishing to educate themselves about neuroscience, as well as biologists who would like to learn time series analysis methods in particular, and refresh their mathematical and statistical knowledge in general, through self-pedagogy. It could also be used as a supplement for a quantitative course in neurobiology or as a textbook for instruction on neural signal processing. The first part of the book contains a set of essays meant to provide conceptual background which are not technical and should be generally accessible. Salient features include the adoption of an active perspective of the nervous system, an emphasis on function, and a brief survey of different theoretical accounts in neuroscience. The second part is the longest in the book, and contains a refresher course in mathematics and statistics leading up to time series analysis techniques. The third part contains applications of data analysis techniques to the range of data sources indicated above (also available as part of the Chronux data analysis platform from http://chronux.org), and the fourth part contains special topics.

This volume presents readers with the latest techniques to study nanoimaging and nanoprobing in application to a broad range of biological systems. The chapters in this book are divided into five parts, and cover topics such as imaging and probing of biomacromolecules including high-speed imaging and probing with AFM; probing chromatin structure with magnetic tweezers; and fluorescence correlation spectroscopy on genomic DNA in living cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and through, Nanoscale Imaging: Methods and Protocols is a valuable resource for anyone interested in learning more about this developing and expanding field.

A complete and practical guide, this text describes how to produce high-quality radiographic and ultrasound images. The first half of the book covers equipment, safety, and technique - all major responsibilities of the veterinary technician. The second half details radiographic positioning for small animals, large animals, and exotics. Reflecting the major role of ultrasonography in veterinary practice, the book concludes with an expanded chapter on diagnostic ultrasound. Practical, concise clinical format Written at the appropriate reading level for technicians Abundant illustrations emphasize basic radiographic and ultrasonographic principles, techniques, and equipment used in veterinary practice Concise and understandable discussion of physics and radiography Examples of common artifacts show how to avoid misinterpretation of imaging studies Excellent coverage of radiation safety Practical technique charts Excellent coverage of small- and large-animal positioning Exotics chapter featuring rodents (including ferrets), reptiles, and birds Ultrasound chapter that includes normal ultrasonographic findings, along with corresponding images Helpful hints given for obtaining quality images and avoiding common pitfalls reflect the authors' experiences at a busy teaching institution New cardiac ultrasound scanning techniques with 20 new ultrasound images New images of the latest x-ray equipment Updated pedagogical features, including outlines, key points, chapter objectives, and helpful hints for veterinary technicians

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology Content includes: The foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs Applications of statistics on manifolds and shape spaces in medical image computing Diffeomorphic deformations and their applications As the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science.

Volume 22, entitled Metal Ions in Bio-Imaging Techniques, of the series Metal Ions in Life Sciences deals with metal ions as tools in imaging. This dates back to the first half of the past century, when barium sulfate was orally given to patients undergoing X-ray examination. The use of contrast agents has since developed into a large interdisciplinary field encompassing not only medicine, but also chemistry, material sciences, physics, biology, engineering, and computer sciences. MILS-22 provides deep and current insights in 17 stimulating chapters on the new research frontiers of this fast growing field on bio-imaging ... and beyond. For example, adding bio-sensing yields theranostic agents, meaning diagnosis and therapy linked in the same molecule; ions of Gd, Mn, Fe, Co, Ir, 99mTc, etc., are involved. Other important topics are, e.g., metal complexes in paramagnetic Chemical Exchange Transfer (paraCEST), radiometals for Positron Emission Tomography (PET) imaging, or paramagnetic metal ion probes for 19F magnetic resonance imaging. MILS-22 is written by 57 internationally recognized experts from 12 countries, that is, from the US via Europe to China. The impact of this vibrant research area is manifested by more than 2300 references and nearly 120 figures, mostly in color, and several informative tables. To conclude, Metal Ions in Bio-Imaging Techniques is an essential resource for scientists working in the wide range from material sciences, enzymology, analytic, organic, and inorganic biochemistry all the way through to medicine including the clinic ... not forgetting that also excellent information for teaching is provided.

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers.