As an addition to the European postgraduate training system for young neurosurgeons, we began to publish in 1974 this series of Advances and Technical Standards in Neurosurgery which was later sponsored by the European Association of Neurosurgical Societies. This series was first discussed in 1972 at a combined meeting of the Italian and German Neurosurgical Societies in Taormina, the founding fathers of the series being Jean Brihaye, Bernard Pertuiset, Fritz Loew and Hugo Krayenbuhl. Thus were established the principles of European co operation which have been born from the European spirit, flourished in the European Association, and have been associated throughout with this senes. The fact that the English language is now the international medium for communication at European scientificconferences is a great asset in terms of mutual understanding. Therefore we have decided to publish all contri butions in English, regardless of the native language of the authors. All contributions are submitted to the entire editorial board before publication of any volume for scrutiny and suggestions for revision. Our series is not intended to compete with the publications of original scientificpapers in other neurosurgical journals. Our intention is, rather, to present fields of neurosurgery and related areas in which important recent advances have been made. The contributions are written by specialists in the given fieldsand constitute the first part of each volume.

Choice Recommended Title, April 2021 Bioimaging: Imaging by Light and Electromagnetics in Medicine and Biology explores new horizons in biomedical imaging and sensing technologies, from the molecular level to the human brain. It explores the most up-to-date information on new medical imaging techniques, such as the detection and imaging of cancer and brain diseases. This book also provides new tools for brain research and cognitive neurosciences based on new imaging techniques. Edited by Professor Shoogo Ueno, who has been leading the field of biomedical imaging for 40 years, it is an ideal reference book for graduate and undergraduate students and researchers in medicine and medical physics who are looking for an authoritative treatise on this expanding discipline of imaging and sensing in medicine and biology. Features: Provides step-by-step explanations of biochemical and physical principles in biomedical imaging Covers state-of-the art equipment and cutting-edge methodologies used in biomedical imaging Serves a broad spectrum of readers due to the interdisciplinary topic and approach Shoogo Ueno, Ph.D, is a professor emeritus of the University of Tokyo, Tokyo, Japan. His research interests include biomedical imaging and bioelectromagnetics, particularly in brain mapping and neuroimaging, transcranial magnetic stimulation (TMS), and magnetic resonance imaging (MRI). He was the President of the Bioelectromagnetics Society, BEMS (2003-2004) and the Chairman of the Commission K on Electromagnetics in Biology and Medicine of the International Union of Radio Science, URSI (2000-2003). He was named the IEEE Magnetics Society Distinguished Lecturer during 2010 and received the d'Arsonval Medal from the Bioelectromagnetics Society in 2010.

Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. Computer-Aided Glaucoma Diagnosis System, Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today. Chapter 2 presents a review of the medical background of the disease, followed by a theoretical and mathematical background used in fundus image processing. Chapter 3 is a literature review about segmentation and feature extraction. Chapter 4 describes the formulation of the proposed methodology. In Chapter 5, the results of optic disc and optic cup segmentation algorithm are presented, the feature extraction and selection method, experimental results and performance evaluations of the classifier are given. Chapter 6 presents the conclusions and discussion of the future potential for the diagnostic system. This book is intended for biomedical engineers, computer science students, ophthalmologists and radiologists looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis of the disease. Key Features Discusses a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and presents an algorithm that detects optic disc and optic cup Assists ophthalmologists and researchers to test a new diagnostic method that reduces the effort and time of the doctors and cost to the patients Discusses techniques to reduce human error and minimize the miss detection rate and facilitate early diagnosis and treatment Presents algorithms to detect cup and disc color, shape features and RNFL texture features Dr. Arwa Ahmed Gasm Elseid is an assistant professor, Department of Biomedical Engineering, Sudan University of Science and Technology, Khartoum, Sudan. Dr. Alnazier Osman Mohammed Hamza is professor of Medical Imaging, College of Engineering, Sudan University of Sciences and Technology, Khartoum, Sudan.

With chapters from globally recognized academics, General Radiography shows the multifaceted approach to general radiography and how it enhances healthcare delivery. Potentially influential to how healthcare delivery is offered, it begins with the pertinent chapters examining image acquisition and dose optimization in diagnostic radiography. Next, chapters reflect and critically discuss aspects central to patient care, and imaging within trauma, critical care and pediatric situations. The final section of this book then explores the learning, teaching and education in the field of diagnostic radiography, with novel strategies illustrated.

This volume addresses the various techniques and novel applications of mass spectrometry imaging (MSI) and its role as a discovery tool in the field of proteomics, lipidomics, and metabolomics. The chapters in this book demonstrate how MSI can be applied to many areas of research such as clinical pathology, translational medicine, toxicology, biomarkers and response studies, and potential incorporation of MSI into forensic workflows. 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. Innovative and comprehensive, Imaging Mass Spectrometry: Methods and Protocols is a valuable resource for research scientists and clinicians who are interested in further studies of MSI technologies.

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

From Roentgen to Rembrandt, Hounsfield to Hollywood and Vesalius to videogames, Imagining Imaging explores the deeply entwined relationship between art (and visual-based culture) and radiology / medical imaging. Including artworks from numerous historical eras representing varied geographic locations and visual traditions, alongside a diverse range of contemporary artists, Dr Jackson argues that the foundations of medical image construction and interpretation were laid down in artistic innovations dating back hundreds and thousands of years. Since the discovery of X-rays, artists and moviemakers have, in turn, drawn rich inspiration from radiographic imagery and concepts, but the process of cross-pollination between art and science has continued, with creative endeavour continuing to mould medical imaging examinations to this day. Blending a unique mix of art, science and medical history, together with aspects of visual neurophysiology and psychology, Imagining Imaging is essential reading for radiologists, radiographers and artists alike. Peppered with familiar TV and film references, personal insights into the business of image interpretation, and delivered in an accessible and humorous style, the book will also appeal to anyone who enjoys looking at pictures. Key features: Engaging synthesis of art and medical history, combined with anecdotes and experiences from a working clinical radiologist Diverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI 200 full colour illustrations

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

This book is designed to give the reader a solid understanding of the

physics and instrumentation aspects of PET, including how PET data are collected and formed into an image. Topics include basic physics, detector technology used in modern PET scanners, data acquisition, and 3D reconstruction. A variety of modern PET imaging systems are also discussed, including those designed for clinical services and research, as well as small-animal imaging. Methods for evaluating the performance of these systems are also outlined. The book will interest nuclear medicine students, nuclear medicine physicians, and technologists.

Based on the experience of two Italian referral centers, the book depicts the characteristic findings obtained when using MR imaging to study the male and female pelvis including the obstetric applications. Each chapter provides a comprehensive account of the use of the imaging technique of examination, including the most recent advances in MR imaging, the anatomy and MR possibilities in the identification, characterization and staging of the different pelvic diseases highlighting its diagnostic possibilities. The advances in fetal MRI, representing the cutting edge of pelvic MR imaging, will also be depicted. The text is complemented by numerous illustrations, as well as clinical cases that make this a very practice-oriented work, presenting the role of diagnostic imaging in every-day clinical activity. The volume will prove an invaluable guide for both residents and professionals with core interest in gynecology, obstetrics and urology.

The completely revised and updated edition --with essential information on improved treatments
Earlier editions of this text have established it as an excellent primer for radiotherapy of head and neck cancers. Now this new volume brings this material fully up to date with recent developments concerning treatment techniques, use of modalities, and the management of early and advanced tumors. With fresh data published here for the first time, this superb resource has been extensively reworked to include:
* A broad range of strategies for managing carcinomas of the oral cavity, horopharynx, hypopharynx, larynx, nasopharynx, paranasal sinuses, nasal cavity, salivary glands, and eye.
* Greatly expanded material on applied anatomy, treatment methods, and technical pointers.
* Detailed site-specific treatment coverage--pathology, staging, selection of modalities, radiation techniques, current treatment data, and more.
* An in-depth case study analysis, comparing conventional radiation therapy to altered fractionation radiation therapy.
* A separate chapter on dental care before, during, and after radiation therapy.
* New illustrations throughout, plus over 100 photographs
This text provides invaluable guidance on the management of head and neck neoplasms to radiation oncologists, head and neck surgeons, oral surgeons, medical oncologists, medical students, and residents.

This book is an informed, educational and abundantly illustrated guide to the imaging knowledge that medical students in the clinical years of their undergraduate studies will be required to get to know, understand and recall in order to negotiate successfully their finals exams. Via the popular and instructive case-based format, readers are guided through 100 cases chosen specifically to reflect what the authors consider is necessary knowledge for finals, and imaging modalities that students can reasonably expect to encounter with a resulting emphasis on plain film with some CT and MR.

Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis. Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obtain clinically useful information. The second is the accurate and fast inferring of meaningful and clinically valid CAD decisions and/or predictions on the basis of model-guided image analysis. To help address this, this book details original stochastic appearance and shape models with computationally feasible and efficient learning techniques for improving the performance of object detection, segmentation, alignment, and analysis in a number of important CAD applications. The book demonstrates accurate descriptions of visual appearances and shapes of the goal objects and their background to help solve a number of important and challenging CAD problems. The models focus on the first-order marginals of pixel/voxel-wise signals and second- or higher-order Markov-Gibbs random fields of these signals and/or labels of regions supporting the goal objects in the lattice. This valuable resource presents the latest state of the art in stochastic modeling for medical image analysis while incorporating fully tested experimental results throughout.

Explore important research approaches and concepts within diagnostic radiography Provide contemporary evidence-based practice regarding mixed method approaches Provide a clear and 'how to guide' for understanding key research principles in a wide range of radiographic settings Evaluate the impact of research on patients and the radiographer-patient relationship

-Presents a practical, case-based approach -Includes real clinical problems and examples, with worked through solutions -Written in an accessible and student friendly manner

As useful to students and nuclear professionals as its popular predecessors, this fifth edition provides the most up-to-date and accessible introduction to radiation detector materials, systems, and applications. There have been many advances in the field of radiation detection, most notably in practical applications. Incorporating these important developments, Measurement and Detection of Radiation, Fifth Edition provides the most up-to-date and accessible introduction to radiation detector materials, systems, and applications. It also includes more problems and updated references and bibliographies, and step-by-step derivations and numerous examples illustrate key concepts. New to the Fifth Edition: * Expanded chapters on semiconductor detectors, data analysis methods, health physics fundamentals, and nuclear forensics. * Updated references and bibliographies. * New and expanded problems.

Leading experts in the use of MRI explain its basic principles and demonstrate its power to understand biological processes with numerous cutting-edge applications. To illustrate its capability to reveal exquisite anatomical detail, the authors discuss MRI applications to developmental biology, mouse phenotyping, and fiber architecture. MRI can also provide information about organ and tissue function based on endogenous cantrast mechanisms. Examples of brain, kidney, and cardiac function are included, as well as applications to neuro and tumor pathophysiology. In addition, the volume demonstrates the use of exogenous contrast material in functional assessment of the lung, noninvasive evaluation of tissue pH, the imaging of metabolic activity or gene expression that occur on a molecular level, and cellular labeling using superparamagnetic iron oxide contrast agents. A companion CD contains all figures in color used in the book.

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.

This is the first all-encompassing textbook designed to support trainee clinical scientists in medical physics as they start work in a hospital setting whilst undertaking an academic master's course. Developed by practising physicists and experienced academics using their experience of teaching trainee medical physicists, this book provides an accessible introduction to the daily tasks that clinical scientists perform in the course of their work. It bridges the gap between theory and practice, making the book also suitable for advanced undergraduate and graduate students in other disciplines studying modules on medical physics, including those who are considering a career in medical physics through applying to the NHS Scientist Training Programme (STP). Features: Provides an accessible introduction to practical medical physics within a hospital environment Maps to the course content of the Scientist Training Programme in the NHS Acts as a complement to the academic books often recommended for medical physics courses

Designed to provide those engaged in modern medical imaging with a coherent perspective of the entire discipline so that one protocol is no longer an isolated or independent mode of imaging from others, to wit: single photon emission computed tomography (SPECT), positron emission tomography (PET) or magnetic resonance imaging (MRI). Introduces biomagnetic imaging as a third new modality.

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

Covers different modalities for improvement of healthcare system Describes implementation strategies and their applications in diagnosis of modalities Reviews automatic identification of related disorders using medical modality Discusses bio-potential signals and their appropriate analysis for studying different disorders Includes case studies, real-time examples and research directions

Radioactive drug development is a multi-disciplinary task, therefore, in a concerted effort, dedicated scientists and experts from different fields of specialisation have contributed to this book. It is presented in two sections. Section 1 contains basic principles and methods used for analysis, information on the chemistry of technetium and on radiopharmaceuticals labelled with technetium-99m, the characteristics of the 99 Mo/99mTc-generator, of 'kits' and formulations for in-vitro labelling, and special safety aspects for in-vivo labelling of blood cells. Section 2 contains monographs of 99mTc-radiopharmaceuticals used in nuclear medicine. Each monograph includes information on the chemistry, formulation, commercial products and trade names, factors affecting in-vivo performance, clinical information on pharmacokinetics, as well as details concerning the clinical application and the radiation dose to patients.

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective