Image Processing In Radiology
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Image Processing In Radiology
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Author : Emanuele Neri
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-31
Image Processing In Radiology written by Emanuele Neri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-31 with Medical categories.
This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The opening section covers a wide range of technical aspects. In the main section, the principal clinical applications are described and discussed in depth. A third section focuses on a variety of special topics. This book will be invaluable to radiologists of any subspecialty.
Digital Image Processing In Radiology
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Author : Alton Everette James (Jr.)
language : en
Publisher:
Release Date : 1985
Digital Image Processing In Radiology written by Alton Everette James (Jr.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Medical categories.
Biomedical Image Processing
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Author : Thomas Martin Deserno
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-01
Biomedical Image Processing written by Thomas Martin Deserno and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-01 with Science categories.
In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.
Medical Image Processing
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Author : Geoff Dougherty
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-25
Medical Image Processing written by Geoff Dougherty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-25 with Technology & Engineering categories.
The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.
Advances In Computational Vision And Medical Image Processing
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Author : Joao Tavares
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-21
Advances In Computational Vision And Medical Image Processing written by Joao Tavares and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-21 with Computers categories.
Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society. For example, Computational Vision systems are progressively used for surveillance tasks, traf?c analysis, recognition process, inspection p- poses, human-machine interfaces, 3D vision and deformation analysis. One of the main characteristics of the Computational Vision domain is its int- multidisciplinary. In fact, in this domain, methodologies of several more fundam- tal sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics are usually used. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, segmentation, registration, behavior interpretation and simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization. The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing (VIPimage) is to promote a comprehensive forum for discussion on the recent advances in the related ?elds trying to id- tify widespread areas of potential collaboration between researchers of different sciences.
Digital Radiography And Pacs E Book
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Author : Christi Carter
language : en
Publisher: Elsevier Health Sciences
Release Date : 2022-07-26
Digital Radiography And Pacs E Book written by Christi Carter and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-26 with Medical categories.
Gain a full understanding of the basic principles and techniques of digital imaging! Using an easy-to-understand format and style, Digital Radiography and PACS, 4th Edition provides the latest information on digital imaging systems. It offers tips on producing clear radiographic images, and helps you build skills in computed radiography (CR) and digital radiography (DR), as well as picture archiving and communications systems (PACS). Coverage also includes quality control and management guidelines for PACS, CR, and DR. Written by noted educators Christi Carter and Beth Veale, this book provides excellent preparation for the ARRT credentialing exam and for success as a practicing radiographer or technologist. Coverage of digital imaging and PACS is provided at the right level for student radiographers and for practicing technologists transitioning to digital imaging. Chapter outlines, learning objectives, and key terms at the beginning of each chapter introduce the chapter content, and help students organize study and boost their comprehension. More than 200 photographs and illustrations help to illuminate digital imaging concepts. Practical information addresses topics such as working with CR/DR workstations, including advanced image processing and manipulation functions; PACS workstations, archiving solutions, and system architectures; and effective techniques for digitizing film, printing images, and preparing image files. Bulleted summaries recap the main points of each chapter, ensuring that students focus on the most important concepts. Review questions at the end of chapters are linked to the chapter objectives and help students assess their understanding of the material, with answers provided to instructors on the Evolve website. NEW! Latest information on digital imaging systems includes computed radiography (CR), digital radiography (DR), and picture archiving and communications systems (PACS), as well as the data required by practicing technologists who are transitioning to digital imaging. NEW! Updates reflect the latest ARRT and ASRT content specifications. NEW! Full-color design is added to this edition.
Handbook Of Medical Image Processing And Analysis
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Author : Isaac Bankman
language : en
Publisher: Elsevier
Release Date : 2008-12-24
Handbook Of Medical Image Processing And Analysis written by Isaac Bankman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-24 with Computers categories.
The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries.For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing.Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images
Digital Image Processing For Medical Applications
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Author : Geoff Dougherty
language : en
Publisher: Cambridge University Press
Release Date : 2009-04-09
Digital Image Processing For Medical Applications written by Geoff Dougherty and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Technology & Engineering categories.
Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.
Computational Vision And Medical Image Processing
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Author : Joao Tavares
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-22
Computational Vision And Medical Image Processing written by Joao Tavares and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-22 with Computers categories.
This book contains extended versions of papers presented at the international Conference VIPIMAGE 2009 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, that was held at Faculdade de Engenharia da Universidade do Porto, Portugal, from 14th to 16th of October 2009. This conference was the second ECCOMAS thematic conference on computational vision and medical image processing. It covered topics related to image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The book collects the state-of-the-art research, methods and new trends on the subject of computational vision and medical image processing contributing to the development of these knowledge areas.
Artificial Intelligence And Machine Learning In 2d 3d Medical Image Processing
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Author : Rohit Raja
language : en
Publisher: CRC Press
Release Date : 2020-12-22
Artificial Intelligence And Machine Learning In 2d 3d Medical Image Processing written by Rohit Raja and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Medical categories.
Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field
