Medical Image Analysis

Medical Image Analysis

Author: Alejandro Frangi

Publisher: Academic Press

Published: 2023-09-20

Total Pages: 700

ISBN-13: 0128136588

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Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing


PET/CT in Prostate Cancer

PET/CT in Prostate Cancer

Author: Gary Cook

Publisher: Springer

Published: 2017-07-24

Total Pages: 73

ISBN-13: 3319576240

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This pocket book explains the significant and well-documented impact that PET/CT can have on the management of prostate cancer through the provision of high-quality evidence regarding function and structure. Up-to-date information is supplied on the relevance of PET/CT to diagnosis, treatment planning, and therapy, including the emerging role of PET/CT with PSMA. Readers will also find clear explanation of the relation of the clinical and pathological background to imaging and the value of PET/CT compared with conventional radiological imaging. The book will be an excellent asset for referring clinicians, nuclear medicine/radiology physicians, radiographers/technologists, and nurses who routinely work in nuclear medicine and participate in multidisciplinary meetings. It is published within the Springer series Clinicians’ Guides to Radionuclide Hybrid Imaging, which presents contributions from professionals worldwide who share a common purpose in promoting nuclear medicine as an important imaging specialty for the diagnosis and management of oncological and non-oncological conditions.


Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging

Author: Erik R. Ranschaert

Publisher: Springer

Published: 2019-01-29

Total Pages: 373

ISBN-13: 3319948784

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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.


Emerging Imaging Technologies in Medicine

Emerging Imaging Technologies in Medicine

Author: Mark A. Anastasio

Publisher: CRC Press

Published: 2012-12-06

Total Pages: 365

ISBN-13: 1439880417

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From the discovery of x-rays in 1895 through the emergence of computed tomography (CT) in the 1970s and magnetic resonance imaging (MRI) in the 1980s, non-invasive imaging has revolutionized the practice of medicine. While these technologies have thoroughly penetrated clinical practice, scientists continue to develop novel approaches that promise to push imaging into entirely new clinical realms, while addressing the issues of dose, sensitivity, or specificity that limit existing imaging approaches. Emerging Imaging Technologies in Medicine surveys a number of emerging technologies that have the promise to find routine clinical use in the near- (less than five years), mid- (five to ten years) and long-term (more than ten years) time frames. Each chapter provides a detailed discussion of the associated physics and technology, and addresses improvements in terms of dose, sensitivity, and specificity, which are limitations of current imaging approaches. In particular, the book focuses on modalities with clinical potential rather than those likely to have an impact mainly in preclinical animal imaging. The last ten years have been a period of fervent creativity and progress in imaging technology, with improvements in computational power, nanofabrication, and laser and detector technology leading to major new developments in phase-contrast imaging, photoacoustic imaging, and optical imaging.


Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics

Author: Rajshree Srivastava

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-10-12

Total Pages: 180

ISBN-13: 3110676125

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Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.


Medical Imaging

Medical Imaging

Author: Society of Photographic Scientists and Engineers. Rochester Chapter

Publisher:

Published: 1983

Total Pages: 40

ISBN-13:

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Electromagnetic Technologies for Medical Diagnostics

Electromagnetic Technologies for Medical Diagnostics

Author: Lorenzo Crocco

Publisher: MDPI

Published: 2019-04-02

Total Pages: 242

ISBN-13: 3038976768

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Electromagnetic (EM) radio-wave technologies for medical imaging represent an emerging alternative diagnostic modality with some unique features, which is attracting the attention of many researchers worldwide. Diagnostic devices based on EM technology have no side-effects, as they exploit non-ionizing radiation, and their intrinsic low cost makes them sustainable for healthcare systems. This Special Issue provides a comprehensive account of this very active research area by gathering contributions that cover a variety of topics ranging from fundamental research questions to experimental validation and clinical translation.


Medical Imaging

Medical Imaging

Author: Troy Farncombe

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 740

ISBN-13: 1466582634

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The book has two intentions. First, it assembles the latest research in the field of medical imaging technology in one place. Detailed descriptions of current state-of-the-art medical imaging systems (comprised of x-ray CT, MRI, ultrasound, and nuclear medicine) and data processing techniques are discussed. Information is provided that will give interested engineers and scientists a solid foundation from which to build with additional resources. Secondly, it exposes the reader to myriad applications that medical imaging technology has enabled.


Medical Imaging Technology

Medical Imaging Technology

Author: Victor I. Mikla

Publisher: Elsevier

Published: 2013-08-23

Total Pages: 156

ISBN-13: 0124170366

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Medical Imaging Technology reveals the physical and materials principles of medical imaging and image processing, from how images are obtained to how they are used. It covers all aspects of image formation in modern imaging modalities and addresses the techniques, instrumentation, and advanced materials used in this rapidly changing field. Covering conventional and modern medical imaging techniques, this book encompasses radiography, fluoroscopy, computed tomography, magnetic resonance imaging, ultrasound, and Raman spectroscopy in medicine. In addition to the physical principles of imaging techniques, the book also familiarizes you with the equipment and procedures used in diagnostic imaging. Addresses the techniques, instrumentation, and advanced materials used in medical imaging Provides practical insight into the skills, tools, and procedures used in diagnostic imaging Focuses on selenium imagers and chalcogenide glasses