Biomedical Texture Analysis

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Author: Adrien Depeursinge
Publisher: Academic Press
ISBN: 0128123214
Size: 16.98 MB
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Biomedical Texture Analysis by Adrien Depeursinge


Original Title: Biomedical Texture Analysis

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students, and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. •Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision •Define the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements •Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different •Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators •Showcases applications where biomedical texture analysis has succeeded and failed •Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis

Biomedical Image Analysis

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Author: Rangaraj M. Rangayyan
Publisher: CRC Press
ISBN: 9780203492543
Size: 67.80 MB
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Biomedical Image Analysis by Rangaraj M. Rangayyan


Original Title: Biomedical Image Analysis

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstrates the benefits reaped from the application of digital image processing, computer vision, and pattern analysis techniques to biomedical images, such as adding objective strength and improving diagnostic confidence through quantitative analysis. The book focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis, rather than on the imaging equipment and imaging techniques. Each chapter addresses several problems associated with imaging or image analysis, outlining the typical processes, then detailing more sophisticated methods directed to the specific problems of interest. Biomedical Image Analysis is useful for senior undergraduate and graduate biomedical engineering students, practicing engineers, and computer scientists working in diverse areas such as telecommunications, biomedical applications, and hospital information systems.

Biomedical Diagnostics And Clinical Technologies Applying High Performance Cluster And Grid Computing

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Author: Pereira, Manuela
Publisher: IGI Global
ISBN: 160566281X
Size: 54.29 MB
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Biomedical Diagnostics And Clinical Technologies Applying High Performance Cluster And Grid Computing by Pereira, Manuela


Original Title: Biomedical Diagnostics And Clinical Technologies Applying High Performance Cluster And Grid Computing

Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing disseminates knowledge regarding high performance computing for medical applications and bioinformatics. This critical reference source contains a valuable collection of cutting-edge research chapters for those working in the broad field of medical informatics and bioinformatics.

Handbook Of Texture Analysis

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Author: Majid Mirmehdi
Publisher:
ISBN: 1848161158
Size: 41.96 MB
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Handbook Of Texture Analysis by Majid Mirmehdi


Original Title: Handbook Of Texture Analysis

Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial.

Texture Analysis In Machine Vision

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Author: Matti Pietik„inen
Publisher: World Scientific
ISBN: 9789810243739
Size: 33.10 MB
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Texture Analysis In Machine Vision by Matti Pietik„inen


Original Title: Texture Analysis In Machine Vision

d104ure analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on ?d104ure Analysis in Machine Vision? was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.

Handbook Of Biomedical Image Analysis

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Author: David Wilson
Publisher: Springer Science & Business Media
ISBN: 9780306485510
Size: 59.54 MB
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Handbook Of Biomedical Image Analysis by David Wilson


Original Title: Handbook Of Biomedical Image Analysis

Handbook of Biomedical Image Analysis: Segmentation Models (Volume I) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematical techniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry . Key Features: - Principles of intra-vascular ultrasound (IVUS) - Principles of positron emission tomography (PET) - Physical principles of magnetic resonance angiography (MRA). - Basic and advanced level set methods - Shape for shading method for medical image analysis - Wavelet transforms and other multi-scale analysis functions - Three dimensional deformable surfaces - Level Set application for CT lungs, brain MRI and MRA volume segmentation - Segmentation of incomplete tomographic medical data sets - Subjective level sets for missing boundaries for segmentation

Medical Imaging Systems Techniques And Applications

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Author: Cornelius T. Leondes
Publisher: CRC Press
ISBN: 9789056996208
Size: 41.32 MB
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Medical Imaging Systems Techniques And Applications by Cornelius T. Leondes


Original Title: Medical Imaging Systems Techniques And Applications

The field of medical imaging has been revolutionized by new techniques in powerful computations, image processing, and modalities such as Computer-Aided Tomography (CAT) and Magnetic Resonance Imaging (MRI), among others. It is therefore an appropriate topic to be included in this series that studies the marriage of computer capabilities and medical imaging, which exemplifies a significant manifestation of relatively recent, valuable technologies known as the second industrial revolution. Addresses the design, implementation, evaluation, and application of algebraic reconstruction techniques (ART); examines the merging of signal processing with scattering theory in computed tomography (CT); studies the difficult challenge of texture analysis in medical imaging; compresses medical imaging data of various modes for patients for a framework of multimodality image base management (MIBM), and examines the enabling technologies to do so; and covers the effectiveness of data compression based on digitized wavelets. This book clearly reveals the effectiveness and great significance of the modalities available, and, with further development, the essential role they will play in the future.

Scattering Theory And Biomedical Engineering Modelling And Applications

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Author: George Dassios
Publisher: World Scientific
ISBN: 9789810243913
Size: 80.75 MB
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Scattering Theory And Biomedical Engineering Modelling And Applications by George Dassios


Original Title: Scattering Theory And Biomedical Engineering Modelling And Applications

This book addresses issues of scattering theory and biomedical engineering, as well as methodological approaches and tools from related scientific areas such as applied mathematics, mechanics, numerical analysis, and signal and image processing.

Analyzing The Large Number Of Variables In Biomedical And Satellite Imagery

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Author: Phillip I. Good
Publisher: John Wiley & Sons
ISBN: 9781118002148
Size: 35.43 MB
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Analyzing The Large Number Of Variables In Biomedical And Satellite Imagery by Phillip I. Good


Original Title: Analyzing The Large Number Of Variables In Biomedical And Satellite Imagery

This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.

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