Medical Imaging For Health Professionals

Describes the most common imaging technologies and their diagnostic applications so that pharmacists and other health professionals, as well as imaging researchers, can understand and interpret medical imaging science This book guides pharmacists and other health professionals and researchers to understand and interpret medical imaging. Divided into two sections, it covers both fundamental principles and clinical applications. It describes the most common imaging technologies and their use to diagnose diseases. In addition, the authors introduce the emerging role of molecular imaging including PET in the diagnosis of cancer and to assess the effectiveness of cancer treatments. The book features many illustrations and discusses many patient case examples. Medical Imaging for Health Professionals: Technologies and Clinical Applications offers in-depth chapters explaining the basic principles of: X-Ray, CT, and Mammography Technology; Nuclear Medicine Imaging Technology; Radionuclide Production and Radiopharmaceuticals; Magnetic Resonance Imaging (MRI) Technology; and Ultrasound Imaging Technology. It also provides chapters written by expert radiologists in well-explained terminology discussing clinical applications including: Cardiac Imaging; Lung Imaging; Breast Imaging; Endocrine Gland Imaging; Abdominal Imaging; Genitourinary Tract Imaging; Imaging of the Head, Neck, Spine and Brain; Musculoskeletal Imaging; and Molecular Imaging with Positron Emission Tomography (PET). Teaches pharmacists, health professionals, and researchers the basics of medical imaging technology Introduces all of the customary imaging tools—X-ray, CT, ultrasound, MRI, SPECT, and PET—and describes their diagnostic applications Explains how molecular imaging aids in cancer diagnosis and in assessing the effectiveness of cancer treatments Includes many case examples of imaging applications for diagnosing common diseases Medical Imaging for Health Professionals: Technologies and Clinical Applications is an important resource for pharmacists, nurses, physiotherapists, respiratory therapists, occupational therapists, radiological or nuclear medicine technologists, health physicists, radiotherapists, as well as researchers in the imaging field.

Health investigation and treatment have moved from a clinician-centred approach to a patient-centred approach during the past few decades. Patients are now rightly regarded as empowered and informed users of health services, not passive recipients. Motivated by this philosophical shift, this new book identifies the key issues underpinning the complete delivery of ‘good’ patient care and considers their application in the medical radiation sciences. Taking a UK/European perspective, the authors examine how a holistic approach is related to legislation, human rights and perceived patient needs. Medical imaging and radiotherapy are front line services experienced by vast numbers of patients with acute and chronic medical conditions, including trauma and cancer. The book includes coverage of behavioural science and health psychology together with practical applications such as safe manual handling, infection control and radiation safety. This provides the reader with a comprehensive understanding of what contributes to the patient’s experience in diagnostic imaging and radiotherapy. It also considers other aspects of the patient experience, such as inter-professional team working, disability, communication, clinical procedures and practice.

This book provides practitioners and scientists with insights into diverse aspects of structured reporting to allow them to develop tools and a knowledge base to ensure that this electronic reporting trend is widely applied. After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. Endorsed by the European Society of Medical Imaging Informatics (EuSoMII), the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Level I and II. It is a valuable resource for residents, radiologists and students.

AJN award winner! This is a concise, easy-to-use reference, enabling health care providers to identify and understand how and when to use the full scope of medical imaging testing modalities-- radiographs, CTs, nuclear imaging, and ultrasound scans and images. The new second edition features a more in-depth discussion of each modality with a focus on the foundational concepts of radiography interpretation of the chest, abdomen, extremities, and spine. It expands coverage of imaging and increases the number of images provided for a total of 400. In addition, the Springer Connect website includes dozens of videos to greatly enhance the learning process. With clear descriptions of each modality—supported by figures, tables, and actual patient films—the text guides readers through the clinical decision-making process. It describes how to choose the best diagnostic test to assess a presenting condition, and examines interpretations of plain radiographs of the chest, abdomen, extremities, and spine. The book fosters an in-depth understanding of the differences between modalities, their attributes, and an appreciation for their parameters with age-appropriate considerations. To assist health care practitioners with the challenges of interpreting plain radiographs, the book simplifies this process with an incremental approach to correct interpretation of what appears on the radiograph and understanding the rationale behind the interpretation. New to the Second Edition: In-depth discussions of different medical imaging testing modality, with a focus on foundational concepts of radiology interpretation of the chest, abdomen, extremities, and spine Exploration of similarities and differences between modalities Over 400 images Accompanying videos Key Features: Addresses the basics of radiology, CT scans, nuclear imaging, MRIs, and ultrasound and their characteristics and differences Provides a step-by-step approach to interpretation of radiographs Guides in the selection of the correct diagnostic test Supports information with figures, tables, images, and films Useful to a wide range of nurse practitioners, physician assistants, and other providers in multiple settings The reader may also access the images and drawings found in this text at springerpub.com/campo-medical-imaging.

This book provides a unique introduction to the vast field of Medical Imaging Informatics for students and physicians by depicting the basics of the different areas in Radiology Informatics. It features short chapters on the different main areas in Medical Imaging Informatics, such as Picture Archiving and Communication Systems (PACS), radiology reporting, data sharing, and de-identification and anonymization, as well as standards like Digital Imaging and Communications in Medicine (DICOM), Integrating the Health Enterprise (IHE) and Health Level 7 (HL7,. Written by experts in the respective fields and endorsed by the European Society of Medical Imaging Informatics (EuSoMII) the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Undergraduate Level and Level I. This volume will be an invaluable resource for residents and radiologists and is also specifically suited for undergraduate training.

A prize-winning medical writer offers an explanation of modern diagnostic medical imaging technologies—and the issues that result from their use and misuse. Medical Imaging describes the discovery and development of diagnostic imaging technologies, explaining how the technologies work and exploring some of the issues that such powerful and expensive technologies create. The book begins with the discovery of X-rays in 1895 and traces the history of imaging technology through today's tools, such as X-ray computed tomography, magnetic resonance imaging (MRI), functional imaging by positron emission tomography (PET), and single photon emission computed tomography (SPECT). The contribution of these expensive technologies to the rising cost of healthcare in the United States and the unequal distribution of imaging diagnostic facilities, particularly in developing countries, is also considered. In addition, the book explores ethical questions that have surfaced in the past, including the reportability of incidental findings during a scan and admissibility of medical images as evidence in courts of law , and such newly emerging issues as the application of imaging tools in lie detection and the mammography guidelines controversy of 2009.

MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum. Audience The core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.