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. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing

The Year in Radiology
The Year in Radiology

Author: Sanjay Saini

Publisher: CRC Press

Published: 2005-04-06

Total Pages: 356

ISBN-13: 9781904392170

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In a comparatively short space of time, the rapid advances in CT imaging technology have led to significant increases in both speed and resolution of images captured. The latest generation of multi-detector CT (MDCT) scanners are finding new applications in a wide variety of fields, making this one of the most exciting imaging modalities currently available. In this new volume, a prestigious team of specialists drawn from centres all over the world brings its own expertise in MDCT to a series of reviews that focus in turn on selected applications in imaging the head and neck, thorax and abdomen. Topics covered include: * emergency CT training * CT angiography and perfusion CT * gynaecologic and genitourinary imaging * scanning protocols and contrast media. For experienced specialists requiring a comprehensive update on recent developments, as well as newcomers seeking an introduction to the diverse capabilities of the technology, The Year in Radiology: Advances in MDCT undoubtedly provides a unique, well-informed guide to the field.

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.

Artificial Intelligence in Medical Imaging
Artificial Intelligence in Medical Imaging

Author: Erik R. Ranschaert

Publisher: Springer

Published: 2019-01-29

Total Pages: 369

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.

Advancing Nuclear Medicine Through Innovation
Advancing Nuclear Medicine Through Innovation

Author: National Research Council

Publisher: National Academies Press

Published: 2007-09-11

Total Pages: 173

ISBN-13: 0309134153

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Nearly 20 million nuclear medicine procedures are carried out each year in the United States alone to diagnose and treat cancers, cardiovascular disease, and certain neurological disorders. Many of the advancements in nuclear medicine have been the result of research investments made during the past 50 years where these procedures are now a routine part of clinical care. Although nuclear medicine plays an important role in biomedical research and disease management, its promise is only beginning to be realized. Advancing Nuclear Medicine Through Innovation highlights the exciting emerging opportunities in nuclear medicine, which include assessing the efficacy of new drugs in development, individualizing treatment to the patient, and understanding the biology of human diseases. Health care and pharmaceutical professionals will be most interested in this book's examination of the challenges the field faces and its recommendations for ways to reduce these impediments.

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

Medical Imaging Informatics
Medical Imaging Informatics

Author: Alex A.T. Bui

Publisher: Springer Science & Business Media

Published: 2009-12-01

Total Pages: 454

ISBN-13: 1441903852

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Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

Computational Methods for Molecular Imaging
Computational Methods for Molecular Imaging

Author: Fei Gao

Publisher: Springer

Published: 2015-06-11

Total Pages: 203

ISBN-13: 3319184318

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This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: • Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities • Molecular Imaging Enhancement • Data Analysis of Clinical & Pre-clinical Molecular Imaging • Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) • Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.

Deep Learning in Medical Image Analysis
Deep Learning in Medical Image Analysis

Author: Zhengchao Dong

Publisher:

Published: 2021

Total Pages: 458

ISBN-13: 9783036514703

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The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.