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Medical Image Processing, Reconstruction and Restoration

Medical Image Processing, Reconstruction and Restoration
Author: Jiri Jan
Publisher: CRC Press
Total Pages: 760
Release: 2005-11-02
Genre: Medical
ISBN: 9780824758493

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It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an invaluable resource to have. Medical Image Processing, Reconstruction and Restoration: Concepts and Methods is that resource. It not only explains the general principles and methods of image processing, but also focuses on recent applications specific to medical imaging – providing a theoretical yet clear explanation of underlying generic concepts. The content of this book is divided into three parts: Part I, Images as Multidimensional Signals, provides the introduction to basic image processing theory, explaining it for both analogue and digital image representation. Part II, Imaging Systems as Data Sources, offers an alternative view on imaging modalities, with emphasis placed on analyzing internal signals and (pre)image data that are consequently processed. Part III, Image Processing and Analysis, focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods of image enhancement, and image restoration techniques. This section also explains concepts of fundamental-level image analysis – detailing local feature analysis, image segmentation, and generalized morphological transforms. It also addresses what is needed within the image processing environment by noting necessary hardware and software and processes for image archiving and communications.


Medical Image Processing, Reconstruction and Restoration

Medical Image Processing, Reconstruction and Restoration
Author: Jiri Jan
Publisher: CRC Press
Total Pages: 755
Release: 2005-11-02
Genre: Medical
ISBN: 1420030671

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It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an


Medical Image Processing, Reconstruction and Analysis

Medical Image Processing, Reconstruction and Analysis
Author: Jiri Jan
Publisher: CRC Press
Total Pages: 574
Release: 2019-08-30
Genre: Medical
ISBN: 135138791X

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Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data


MEDICAL IMAGE PROCESSING

MEDICAL IMAGE PROCESSING
Author: G.R. SINHA
Publisher: PHI Learning Pvt. Ltd.
Total Pages: 270
Release: 2014-01-20
Genre: Technology & Engineering
ISBN: 8120349024

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Medical Image Processing: Concepts and Applications presents an overview of image processing for various applications in the field of medical science. Inclusion of several topics like noise reduction filters, feature extraction, image restoration, segmentation, soft computing techniques and context-based medical image retrieval, etc. makes this book a single-source information meeting the requirements of the readers. Besides, the coverage of digital image processing, human visual perception and CAD system to be used in automated diagnosis system, medical imaging modalities, various application areas of medical field, detection and classification of various disease, etc. is highly emphasised in the book. The book, divided into eight chapters, presents the topics in a clear, simple, practical and cogent fashion that provides the students with the insight into theory as well as applications to the practical problems. The research orientation of the book greatly supports the concepts of image processing to be applied for segmentation, classification and detection of affected areas in X-ray, MRI and mammographic and all other medical images. Throughout the book, an attempt has been made to address the challenges faced by radiologists, physicians and doctors in scanning, interpretation and diagnosis process. The book uses an abundance of colour images to impart a high level of comprehension of concepts and helps in mastering the process of medical image processing. Special attention is made on the review of algorithms or methods of medical image formation, processing and analysis, medical imaging applications, and emerging medical imaging modality. This is purely a text dedicated for the undergraduate and postgraduate students of biomedical engineering. The book is also of immense use to the students of computer science engineering and IT who offer a course on digital image processing. Key Points • Chapter-end review questions test the students’ knowledge of the funda-mental concepts. • Course outcomes help the students in capturing the key points. • Several images and information regarding morphological operations given in appendices help in getting additional knowledge in the field of medical image processing.


Digital Image Processing for Medical Applications

Digital Image Processing for Medical Applications
Author: Geoff Dougherty
Publisher: Cambridge University Press
Total Pages: 463
Release: 2009
Genre: Computers
ISBN: 0521860857

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Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.


Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
Author: Nandinee Haq
Publisher: Springer Nature
Total Pages: 142
Release: 2021-09-29
Genre: Computers
ISBN: 3030885526

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This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.


Medical Image Processing, Reconstruction and Analysis

Medical Image Processing, Reconstruction and Analysis
Author: Jiri Jan
Publisher: CRC Press
Total Pages: 619
Release: 2019-08-30
Genre: Medical
ISBN: 1351387901

Download Medical Image Processing, Reconstruction and Analysis Book in PDF, ePub and Kindle

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data


Image Restoration and Reconstruction

Image Restoration and Reconstruction
Author: R. H. T. Bates
Publisher: Oxford University Press, USA
Total Pages: 292
Release: 1989
Genre: Image processing
ISBN: 9780198562290

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Though a relatively new science, image processing is already an important field with many useful applications in areas such as satellite imaging, astronomy, medical imaging, and holography. The first comprehensive treatment of image restoration and reconstruction, this volume focuses on those aspects which are most useful to scientists and engineers. An important feature is the inclusion of extended worked examples at the end of each chapter which allow the reader to get a practical feel for these techniques.


Image Restoration and Reconstruction

Image Restoration and Reconstruction
Author: R. H. T. Bates
Publisher: Oxford University Press, USA
Total Pages: 312
Release: 1986
Genre: Computers
ISBN:

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Though a relatively new science, image processing is already an important field with many useful applications in areas such as satellite imaging, astronomy, medical imaging, and holography. The first comprehensive treatment of image restoration and reconstruction, this volume focuses on those aspects that are most useful to scientists and engineers. An important feature is the inclusion of extended worked examples at the end of each chapter, which allow the reader to get a practical feel for these techniques.


Image Recovery: Theory and Application

Image Recovery: Theory and Application
Author: Henry Stark
Publisher: Elsevier
Total Pages: 565
Release: 2013-04-25
Genre: Technology & Engineering
ISBN: 0323145973

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Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.