Products related to Imaging:
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Deep Learning for Computational Imaging
Computational techniques for image reconstruction problems enable imaging technologies including high-resolution microscopy, astronomy and seismology, computed tomography, and magnetic resonance imaging.Until recently, methods for solving such inverse problems were derived by experts without any learning.Now, the best performing image reconstruction methods are based on deep learning.This textbook gives the first comprehensive introduction to deep learning based image reconstruction methods.This book first introduces important inverse problems in imaging, including denoising and reconstructing an image from few and noisy measurements, and explains what makes those problems hard and interesting.Then, the book briefly discusses traditional optimization and sparsity based reconstruction methods, as well as optimization techniques as a basis for training and deriving deep neural networks for image reconstruction.The main part of the book is about how to solve image reconstruction problems with deep learning techniques: The book first disuses supervised deep learning approaches that map a measurement to an image as well as network architectures for imaging including convolutional neural networks and transformers.Then, reconstruction approaches based on generative models such as variational autoencoders and diffusion models are discussed, and how un-trained neural networks and implicit neural representations enable signal and image reconstruction.The book ends with a discussion on the robustness of deep learning based reconstruction as well as a discussion on the important topic of evaluating models and datasets, which are a critical ingredient of deep learning based imaging.
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Compressive Imaging: Structure, Sampling, Learning
Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications.Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging.It has fundamentally changed the way modern image reconstruction is performed.This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject.Next, it introduces core topics in compressive imaging – including compressed sensing, wavelets and optimization – in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging.The final part is devoted to recent trends in compressive imaging: deep learning and neural networks.With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
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Meta-Learning Frameworks for Imaging Applications
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Deep Learning Applications in Medical Imaging
Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best.After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare.Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis.While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care.This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.
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What is magnetic resonance imaging (MRI)?
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that uses a strong magnetic field and radio waves to generate detailed images of the inside of the body. It provides high-resolution images of soft tissues, organs, and structures, making it a valuable tool for diagnosing a wide range of conditions. MRI is commonly used to detect abnormalities in the brain, spine, joints, and internal organs, and is particularly useful for evaluating the brain and spinal cord.
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How does a thermal imaging camera work?
A thermal imaging camera works by detecting the heat emitted by an object or person and converting it into a visible image. This is done using a special lens that focuses the infrared light emitted by objects onto a detector, which then converts the information into an electronic signal. The camera then processes this signal to create a visual representation of the heat patterns, with warmer areas appearing as lighter colors and cooler areas as darker colors. This allows the camera to capture and display the thermal energy emitted by objects, making it useful for various applications such as night vision, building inspections, and medical diagnostics.
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Where can I rent a thermal imaging camera?
You can rent a thermal imaging camera from various equipment rental companies, specialized camera rental shops, or online rental platforms. Some hardware stores or home improvement stores may also offer thermal imaging cameras for rent. Make sure to compare prices, availability, and rental terms before making a decision on where to rent the camera.
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Is it worth buying a thermal imaging camera?
It depends on your specific needs and intended use. Thermal imaging cameras can be valuable tools for various applications such as home inspections, electrical troubleshooting, and hunting. They can help identify issues that are not visible to the naked eye, potentially saving time and money in the long run. However, they can be expensive, so it's important to consider whether the benefits outweigh the cost for your particular situation.
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The Essential Physics of Medical Imaging Study Guide
Ideal for study, review, or self-assessment, The Essential Physics of Medical Imaging Study Guide is an easy-to-use, interactive resource for learning and retaining core information in the physics of medical imaging.Whether used as a supplement to The Essential Physics of Medical Imaging, 4th Edition, or as a stand-alone review tool, this new study guide helps you gain a deeper understanding of this complex field, while preparing you for exams and clinical practice.It’s an essential resource for radiology residents and practitioners, medical physicists, and radiation oncologists, as well as radiology technicians and nuclear medicine technicians who need a reliable, up-to-date review of medical physics, federal radiation control standards and regulations, radiation safety, and radiation biology. References between the main textbook and the study guide provide more detailed answers to questions that arise as you study. Provides three helpful sections for study and review: Section 1 distills key concepts for each chapter in textbook in outline format. Section 2 includes more than 1,000 image-rich questions and answers with page numbers from the main text for further detail; eBook questions and answers are interactive. Section 3 consolidates key equations for each chapter with page numbers from the main text where the equation is introduced and discussed.Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.
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Imagining Imaging
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 radiologistDiverse range of visual reference points including astronomy, botany and cartography, alongside comprehensive discussion of medical imaging modalities including plain radiography, ultrasound, CT and MRI200 full colour illustrations
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Medical Imaging
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. Various charts and illustrations show medical imaging modalities, Medicare medical imaging costs, distribution of imaging costs, physicians' fees by modality, nuclear imaging probes, and medical imaging physicsA glossary defines key terms necessary to understanding medical imaging technology such as "positron," "half-life," and “tomography," as well as acronyms such as "MRI,", "PET," "SPECT," and "CT"Presents documents including early popular science articles on X-ray technology and its abuse
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Meta Learning With Medical Imaging and Health Informatics Applications
Meta-Learning, or learning to learn, has become increasingly popular in recent years.Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to new tasks.The meta-learning paradigm has great potential to address deep neural networks’ fundamental challenges such as intensive data requirement, computationally expensive training, and limited capacity for transfer among tasks. This book provides a concise summary of Meta-Learning theories and their diverse applications in medical imaging and health informatics.It covers the unifying theory of meta-learning and its popular variants such as model-agnostic learning, memory augmentation, prototypical networks, and learning to optimize.The book brings together thought leaders from both machine learning and health informatics fields to discuss the current state of Meta-Learning, its relevance to medical imaging and health informatics, and future directions.
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How are thermal imaging cameras used in hunting?
Thermal imaging cameras are used in hunting to detect the heat signatures of animals in low-light or dark conditions. Hunters can use these cameras to locate and track game, as the heat signatures of animals stand out against the cooler background. This technology allows hunters to see animals that may be otherwise hidden by foliage or darkness, improving their chances of a successful hunt. Additionally, thermal imaging cameras can help hunters track wounded animals by following their heat signature.
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How can a thermal imaging camera penetrate materials?
A thermal imaging camera can penetrate materials because it detects the infrared radiation emitted by objects and materials. This radiation is produced by the heat energy that all objects and materials emit as a result of their temperature. The camera's sensors can detect this radiation and convert it into a visual image, allowing the camera to "see" through materials and capture the heat signatures of objects behind them. This makes thermal imaging cameras useful for various applications, such as detecting heat leaks in buildings, locating hot spots in electrical systems, and even identifying objects in low visibility conditions.
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What is the result of the imaging diagnostics?
The result of the imaging diagnostics shows that there is a fracture in the left tibia. The X-ray or MRI has revealed a clear break in the bone, which will require further evaluation and treatment by a medical professional. It is important to follow up with a doctor to discuss the next steps for managing and treating the fracture.
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Is it worth investing in a thermal imaging camera?
Investing in a thermal imaging camera can be worth it depending on your specific needs. These cameras can be useful for various applications such as home inspections, electrical inspections, and even wildlife observation. If you frequently require the ability to detect temperature differences or anomalies, a thermal imaging camera can be a valuable tool. However, they can be quite expensive, so it's important to consider whether the benefits they offer align with your requirements before making the investment.
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