This portable guide to radiology nursing provides comprehensive information about this emerging specialty in a concise format designed for speedy information retrieval. Written for both practicing nurses and new orientees, it outlines general procedures and protocols, along with requisite information for patient care in specialized areas of radiology. It discusses care for all patient populations including morbidly obese, pediatric, geriatric, and oncology and addresses vascular access, infection control, teamwork, and sterile technique in the radiology setting. The book encompasses over 50 different IR procedures, and also describes emergency situations in radiology and how to respond to them. With an emphasis on inter-professional care, the book demystifies complex procedures and includes clinical "pearls" from seasoned experts in radiology nursing. The book's format features consistently organized chapters, bulleted information "at a glance," an introduction, objectives, and summary in each chapter, and case studies to reinforce radiological interventions. The guide will be a welcome addition to the arsenal of radiology, emergency, and clinical care nurses as well as new orientees. This book was originally published under the Fast Facts series by Springer Publishing Company.

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

Find information fast on the most frequently requested radiographic projections! Merrill's Pocket Guide to Radiography, 15th Edition summarizes essential information for more than 150 radiography projections in a spiral-bound format designed for quick reference in the clinical environment. Clear instructions explain how to position patients and body parts, and an optimal radiograph is included for each projection. From noted medical imaging educator Jeannean Hall Rollins, this easy-to-carry handbook guides you through everything from perfect positioning to perfect exposures. Bulleted step-by-step instructions show how to position the patient and body part for frequently requested radiography projections. More than 150 projections are each presented in a two-page spread, and include information on patient position, part position, central ray angulation, collimation, KVp values, and a photograph of a properly positioned patient. Diagnostic-quality radiograph for each projection demonstrates the result the radiographer is trying to achieve. Computed Radiography information allows the radiographer to make the subtle adjustments necessary to obtaining optimal CR results. Exposure technique chart for every projection helps reduce the need for repeat radiographs and improves overall image quality. Abbreviations and external landmarks are listed on the inside front cover and inside back cover for quick reference. Compensating filter information is included for those projections where filters are used. Section dividers with tabs make it easier to find the beginning of each section. NEW! Updated digital radiographs provide greater contrast resolution for improved visualization of pertinent anatomy. NEW! Thoroughly revised content reflects the latest American Registry of Radiologic Technologists (ARRT) standards. NEW! Updated positioning photos show current digital imaging equipment and technology. NEW! Full-color design emphasizes the key points on each page, enhancing your study of radiographic positioning and procedures.

This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.

To succeed in radiology, you not only need to be able to interpret diagnostic images accurately and efficiently; you also need to make wise decisions about managing your practice at every level. Whether you work in a private, group, hospital, and/or university setting, this practical resource delivers the real-world advice you need to effectively navigate day-to-day financial decisions, equipment and computer systems choices, and interactions with your partners and staff. Equips you to make the best possible decisions on assessing your equipment needs * dealing with manufacturers * purchasing versus leasing * and anticipating maintenance costs and depreciation. Helps you to identify your most appropriate options for picture archiving systems and radiology information systems * security issues * high-speed lines * storage issues * workstation assessments * and paperless filmless flow. Offers advice on dealing with departments/clinicians who wish to perform radiological procedures and provides strategies for win-win compromises, drawing the line, inpatient-versus-outpatient considerations, cost and revenue sharing, and more.

The last decade has seen enormous upheaval within all aspects of health care, and the gastrointestinal/ gastroenterology (GI) service has been no exception. Increasing demand for new and established diagnostic and interventional procedures has encouraged innovative models of service delivery, resulting in a range of health professionals crossing traditional practice boundaries. In particular, nurses and radiographers have seized the opportunity to develop their scope of practice, managing a range of procedures including colonoscopy, barium studies and CT colonography. This has, in many cases, freed both radiologists and gastroenterologists to take on new roles in the interventional service. The development of new procedures and new ways of working has promoted a renewed enthusiasm for critical evaluation of the GI service as a whole. As practitioners and clinicians learn new skills and extend their scope of practice it is essential that they have a thorough understanding of the basis of safe, effective and evidence based practice. This book offers the reader a detailed overview of the range of imaging procedures that may be employed in the investigation of gastrointestinal tract pathology, and explores current practice related to the subsequent patient care pathways and treatment options. It has been designed as a detailed reference guide for all health professionals who have a direct involvement in the GI tract and its imaging, including those who may be referring patients for GI radiological investigation, those professionals who are performing and subsequently reporting the procedures, and the clinicians responsible for the subsequent patient management. This book offers a unique insight into the rapidly changing radiology service, and offers introductory chapters which provide the fundamental underpinning knowledge required for safe and effective GI practice. Subsequent chapters discuss the evidence base related to a range of imaging procedures suitable for investigation of upper and lower GI symptoms, supported by key pathology chapters. The book also explores the range of treatments available for the more common GI tract pathology. Multi professional authorship. Detailed evidence-informed explanations of a range of individual GI procedures, including suggestions for problem solving and adaptation of technique. With extensive illustrations, medical images, boxes and tables. References and further reading. /ul>

Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

SECTION 1: BASICS OF MRI 1. Basic Principles 2. T1, T2 Relaxations and Image Weighting 3. k-space and Scanning Parameters 4. Magnetic Resonance Instrumentation 5. Sequences I: Basic Principles and Classification 6. Sequences II: Accessory Techniques 7. Sequences III: When to Use What Sequences 8. Magnetic Resonance Imaging Artifacts 9. Magnetic Resonance Imaging Safety 10. Magnetic Resonance Imaging Contrast Media 11. Normal Signal Intensity on Magnetic Resonance Imaging 12. Principles of Interpretation: Neuroimaging 13. Principles of Interpretation: Body Imaging SECTION 2: MRI TECHNIQUES 14. 3 Tesla Magnetic Resonance Imaging 15. Magnetic Resonance Angiography 16. Diffusion Weighted Imaging 17. Magnetic Resonance Imaging Perfusion 18. Magnetic Resonance Spectroscopy 19. Neuroimaging Magnetic Resonance Imaging Techniques 20. Body Imaging Magnetic Resonance Imaging Techniques I 21. Body Imaging Magnetic Resonance Imaging Techniques II 22. Cardiac Magnetic Resonance Imaging Techniques 23. Lung Magnetic Resonance Imaging Techniques Index

In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.

Optimize diagnostic accuracy with Problem Solving in Pediatric Imaging, a new volume in the Problem Solving in Radiology series. This concise title offers quick, authoritative guidance from experienced radiologists who focus on the problematic conditions you're likely to see-and how to reach an accurate diagnosis in an efficient manner. Addresses the practical aspects of pediatric imaging-perfect for practitioners, fellows, and senior level residents who may or may not specialize in pediatric radiology, but need to use and understand it. Integrates problem-solving techniques throughout, addressing questions such as, "If I see this, what do I need to consider? What are my next steps?" Presents content in a highly useful, real-world manner, with sections on conventional radiography in the ED, NICU, PICU, and CICU; fluoroscopy; body imaging; and neuroradiology. Imaging findings are merged with clinical, anatomic, developmental, and molecular information to extract key diagnostic and therapeutic information. Contains a section on special topics with chapters on radiation safety and quality assurance. Features hundreds of high-quality color images and anatomic drawings that provide a clear picture of what to look for when interpreting studies. Illustrations conveying normal anatomy help you gain an in-depth perspective of each pathology. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Biophotonic diagnostics/biomedical spectroscopy can revolutionise the medical environment by providing a responsive and objective diagnostic environment. This book aims to explain the fundamentals of the physical techniques used combined with the particular requirements of analysing medical/clinical samples as a resource for any interested party. In addition, it will show the potential of this field for the future of medical science and act as a driver for translation across many different biological problems/questions.

In September 2009, the format of the written Radiology FRCR Part 2A examinations changed. The previous negatively-marked true-false MCQs have become obsolete, replaced by 'single best answer' (SBA)questions, with candidates selecting 1 of 5 options, without negative marking. The author team have themselves recently successfully sat the FRCR exam, and have prior experience in the SBA format, making them ideally suited to write such a book, and have produced an excellent revision guide for the new format exam. There are 750 stem questions covering all 6 modules, including a separate section with a 75 questions-per-module 'mock' examination which readers can use to test themselves against the clock, under examination conditions, to hone their technique. The questions have been extensively researched and cross-checked, with relevant topics being drawn from major radiology textbooks, as well as current radiological journals such as Clinical Radiology and Radiographics. Answers are given with detailed explanations and references are provided, which can also be used for further reading as appropriate. As a bonus the authors pass on their own proven exam tips and techniques. Key Points - Authors recently sat exams themselves - Over 700 questions

This book describes methods for statistical brain imaging data analysis from both the perspective of methodology and from the standpoint of application for software implementation in neuroscience research. These include those both commonly used (traditional established) and state of the art methods. The former is easier to do due to the availability of appropriate software. To understand the methods it is necessary to have some mathematical knowledge which is explained in the book with the help of figures and descriptions of the theory behind the software. In addition, the book includes numerical examples to guide readers on the working of existing popular software. The use of mathematics is reduced and simplified for non-experts using established methods, which also helps in avoiding mistakes in application and interpretation. Finally, the book enables the reader to understand and conceptualize the overall flow of brain imaging data analysis, particularly for statisticians and data-scientists unfamiliar with this area. The state of the art method described in the book has a multivariate approach developed by the authors' team. Since brain imaging data, generally, has a highly correlated and complex structure with large amounts of data, categorized into big data, the multivariate approach can be used as dimension reduction by following the application of statistical methods. The R package for most of the methods described is provided in the book. Understanding the background theory is helpful in implementing the software for original and creative applications and for an unbiased interpretation of the output. The book also explains new methods in a conceptual manner. These methodologies and packages are commonly applied in life science data analysis. Advanced methods to obtain novel insights are introduced, thereby encouraging the development of new methods and applications for research into medicine as a neuroscience.