Handbook of Medical Image Processing and Analysis

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Author: Isaac Bankman

Publisher: Elsevier

ISBN: 9780080559148

Category: Computers

Page: 1000

View: 865

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

Handbook of Medical Imaging

Processing and Analysis Management

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Author: N.A

Publisher: Academic Press

ISBN: 9780080533100

Category: Technology & Engineering

Page: 901

View: 4252

In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images

Handbook of Medical Imaging: Medical image processing and analysis

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Author: Jacob Beutel

Publisher: SPIE Press

ISBN: 9780819436221

Category: Medical

Page: 1218

View: 6548

Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis.

Handbook of Medical Imaging

Medical Image Processing and Analysis

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Author: Milan Sonka,J. Michael Fitzpatrick

Publisher: Society of Photo Optical

ISBN: 9780819477606

Category: Medical

Page: 1218

View: 8927

Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis. Softcover version of PM80.

Handbook of Biomedical Image Analysis

Volume 2: Segmentation Models

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Author: David Wilson,Swamy Laxminarayan

Publisher: Springer Science & Business Media

ISBN: 0306486067

Category: Medical

Page: 816

View: 5546

Stereo and temporal eye registration by mutual information maximization -- Quantification of brain aneurysm dimensions from CTA for surgical planning of coiling interventions -- Inverse consistent image registration -- A computer-aided design system for segmentation of volumetric images -- Inter-subject non-rigid registration: an overview with classification and the Romeo algorithm -- Elastic registration for biomedical applications -- Quo vadis, atlas-based segmentation -- Elastic registration for biomedical applications --

Handbook of Biomedical Image Analysis

Volume 3: Registration Models

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Author: Jasjit S. Suri,David Wilson,Swamy Laxminarayan

Publisher: Springer Science & Business Media

ISBN: 9780306486074

Category: Computers

Page: 574

View: 6161

With rapid advancements in technology, body imaging or components thereof, have become ubiquitous in medicine. While the biomedical devices such as the MRI, CT, X-rays, Ultrasound, PET/SPECT and Microscopy etc, provide us with high resolution images, the challenges that have continued to confront us with, lie in the interpretation of the vast amounts of data generated by these devices. Biomedical applications are the ‘bottom-line’ essentials in the diagnostic world. It is this diagnostic interpretation feature that forms the core niche for these books and will serve the needs of a broad spectrum of audience including researchers, research clinicians, and students. Together the three volumes will illustrate the role of the fusion of registration and segmentation systems for complete biomedical applications therapy delivery benefiting the biomedical doctors, clinical researchers, radiologists and others.

Springer Handbook of Medical Technology

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Author: Rüdiger Kramme,Klaus-Peter Hoffmann,Robert Steven Pozos

Publisher: Springer Science & Business Media

ISBN: 9783540746584

Category: Technology & Engineering

Page: 1497

View: 8016

This concise, user-oriented and up-to-date desk reference offers a broad introduction to the fascinating world of medical technology, fully considering today’s progress and further development in all relevant fields. The Springer Handbook of Medical Technology is a systemized and well-structured guideline which distinguishes itself through simplification and condensation of complex facts. This book is an indispensable resource for professionals working directly or indirectly with medical systems and appliances every day. It is also meant for graduate and post graduate students in hospital management, medical engineering, and medical physics.

Digitale Bildsignalverarbeitung

Grundlagen, Verfahren, Beispiele

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Author: Friedrich Wahl

Publisher: Springer-Verlag

ISBN: 3642823149

Category: Technology & Engineering

Page: 191

View: 8939

Handbook of Biomedical Imaging

Methodologies and Clinical Research

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Author: Nikos Paragios,James Duncan,Nicholas Ayache

Publisher: Springer

ISBN: 9781489977755

Category: Computers

Page: 511

View: 5398

This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors.

Computer-Aided Intelligent Recognition Techniques and Applications

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Author: Dr. Muhammad Sarfraz

Publisher: John Wiley & Sons

ISBN: 047009415X

Category: Technology & Engineering

Page: 518

View: 2263

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.

Entwicklung eines benutzerorientierten Segmentiersystems fr biomedizinische Bilder

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Author: Daniel Mauch

Publisher: disserta Verlag

ISBN: 3942109425

Category:

Page: 200

View: 3571

Die Entwicklung eines leistungsstarken und gleichzeitig einfach zu bedienenden Bildanalysesystems fur die Biomedizin ist bis zum heutigen Tag noch nicht erreicht worden. Eines der Hauptprobleme liegt dabei im sehr komplexen Schritt der Segmentation. Mit dieser Arbeit wurde erstmals eine strukturierte Analyse der Benutzeranforderungen fur solche Bildanalysesysteme durchgefuhrt. Dies erfolgte durch eine Zielgruppenanalyse (N=67) und mit Hilfe einer Contextual Design Studie (N=12). Auf Basis der Ergebnisse wurden eine Datenbank fur Bildanalyseprobleme, -methoden und -losungen sowie der Prototyp eines darauf aufbauenden Bildanalysesystems implementiert und mit Benutzern anhand von Fragebogen und Interviews (N=13) mit guten Ergebnissen evaluiert.

Pattern Recognition and Image Analysis

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Author: Earl Gose

Publisher: Prentice Hall

ISBN: 9780132364157

Category: Computers

Page: 484

View: 2155

Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications where the input data is an image. This book is a complete introduction to pattern recognition and its increasing role in image processing. It covers the traditional issues of pattern recognition and also introduces two of the fastest growing areas: Image Processing and Artificial Neural Networks. Examples and digital images illustrate the techniques, while an appendix describes pattern recognition using the SAS statistical software system.

Deformable Models

Biomedical and Clinical Applications

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Author: Aly Farag

Publisher: Springer Science & Business Media

ISBN: 0387684131

Category: Medical

Page: 556

View: 7476

This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. It includes level sets, PDEs, curve and surface evolution and their applications in biomedical fields covering both static and motion imagery.

The Image Processing Handbook, Sixth Edition

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Author: John C. Russ

Publisher: CRC Press

ISBN: 9781439840634

Category: Technology & Engineering

Page: 885

View: 2043

Whether obtained by microscopes, space probes, or the human eye, the same basic tools can be applied to acquire, process, and analyze the data contained in images. Ideal for self study, The Image Processing Handbook, Sixth Edition, first published in 1992, raises the bar once again as the gold-standard reference on this subject. Using extensive new illustrations and diagrams, it offers a logically organized exploration of the important relationship between 2D images and the 3D structures they reveal. Provides Hundreds of Visual Examples in FULL COLOR! The author focuses on helping readers visualize and compare processing and measurement operations and how they are typically combined in fields ranging from microscopy and astronomy to real-world scientific, industrial, and forensic applications. Presenting methods in the order in which they would be applied in a typical workflow—from acquisition to interpretation—this book compares a wide range of algorithms used to: Improve the appearance, printing, and transmission of an image Prepare images for measurement of the features and structures they reveal Isolate objects and structures, and measure their size, shape, color, and position Correct defects and deal with limitations in images Enhance visual content and interpretation of details This handbook avoids dense mathematics, instead using new practical examples that better convey essential principles of image processing. This approach is more useful to develop readers’ grasp of how and why to apply processing techniques and ultimately process the mathematical foundations behind them. Much more than just an arbitrary collection of algorithms, this is the rare book that goes beyond mere image improvement, presenting a wide range of powerful example images that illustrate techniques involved in color processing and enhancement. Applying his 50-year experience as a scientist, educator, and industrial consultant, John Russ offers the benefit of his image processing expertise for fields ranging from astronomy and biomedical research to food science and forensics. His valuable insights and guidance continue to make this handbook a must-have reference.

Handbook of Medical Imaging

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Author: Jacob Beutel,Harold L. Kundel,Richard L. Van Metter

Publisher: SPIE Press

ISBN: 9780819436214

Category: Medical

Page: 949

View: 3241

This volume describes concurrent engineering developments that affect or are expected to influence future development of digital diagnostic imaging. It also covers current developments in Picture Archiving and Communications System (PACS) technology, with particular emphasis on integration of emerging imaging technologies into the hospital environment.

Medical Image Analysis

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Author: Atam P. Dhawan

Publisher: John Wiley & Sons

ISBN: 0470922893

Category: Technology & Engineering

Page: 400

View: 4903

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter. A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added. A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp://ftp.wiley.com/public/sci_tech_med/medical_image/ Send an email to: [email protected] to obtain a solutions manual. Please include your affiliation in your email.

Medizinische Bildverarbeitung

Bildanalyse, Mustererkennung und Visualisierung für die computergestützte ärztliche Diagnostik und Therapie

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Author: Heinz Handels

Publisher: Springer-Verlag

ISBN: 9783835100770

Category: Mathematics

Page: 432

View: 407

Dieses Buch gibt einen systematischen Überblick über moderne Methoden der medizinischen Bildanalyse, Mustererkennung und Visualisierung, die für die Entwicklung und den Einsatz medizinischer Bildverarbeitungssysteme von Bedeutung sind. Es wird eine integrierte Darstellung praxisrelevanter Verfahren der Mustererkennung, Bildverarbeitung und Computergraphik gegeben und ihre Anwendung anhand einer Vielzahl medizinischer Beispiele illustriert.

Handbook of Bioinspired Algorithms and Applications

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Author: Stephan Olariu,Albert Y. Zomaya

Publisher: CRC Press

ISBN: 1420035061

Category: Computers

Page: 704

View: 1079

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains. A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique. Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.