Advanced Biomedical Image Analysis / Mark A. Haidekker

Public ISBD Titre : Advanced Biomedical Image Analysis Type de document : texte imprimé Auteurs : Mark A. Haidekker, Auteur Editeur : Hoboken,New jersey : John Wiley & Sons, Inc Année de publication : 2011 Importance : 512 p. Présentation : couv. ill. en coul., ill. Format : 24,2 cm. Accompagnement : CD-ROM ISBN/ISSN/EAN : 978-0-470-62458-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields. Note de contenu : Contents 1 Image Analysis: A Perspective 2 Survey of Fundamental Image Processing Operators 3 Image Processing in the Frequency Domain 4 The Wavelet Transform and Wavelet-Based Filtering 5 Adaptive Filtering 6 Deformable Models and Active Contours 7 The Hough Transform 8 Texture Analysis 9 Shape Analysis 10 Fractal Approaches to Image Analysis 11 Image Registration 12 Image Storage, Transport, and Compression 13 Image Visualization 14 Image Analysis and Visualization Software Appendix A: Image Analysis with Crystal Image Appendix B: Software on DVD -Index Advanced Biomedical Image Analysis [texte imprimé] / Mark A. Haidekker, Auteur . - Hoboken,New jersey : John Wiley & Sons, Inc, 2011 . - 512 p. : couv. ill. en coul., ill. ; 24,2 cm. + CD-ROM. ISBN : 978-0-470-62458-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : A comprehensive reference of cutting-edge advanced techniques for quantitative image processing and analysis Medical diagnostics and intervention, and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study. Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration, image segmentation, image quantification and classification, and image visualization. In each instance, the theory, mathematical foundation, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter. Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use. Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well suited as a textbook for graduate-level image processing classes in the computer science and engineering fields. Note de contenu : Contents 1 Image Analysis: A Perspective 2 Survey of Fundamental Image Processing Operators 3 Image Processing in the Frequency Domain 4 The Wavelet Transform and Wavelet-Based Filtering 5 Adaptive Filtering 6 Deformable Models and Active Contours 7 The Hough Transform 8 Texture Analysis 9 Shape Analysis 10 Fractal Approaches to Image Analysis 11 Image Registration 12 Image Storage, Transport, and Compression 13 Image Visualization 14 Image Analysis and Visualization Software Appendix A: Image Analysis with Crystal Image Appendix B: Software on DVD -Index

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An Introduction To The Principles Of Medical Imaging / Chris Guy

Public ISBD Titre : An Introduction To The Principles Of Medical Imaging Type de document : texte imprimé Auteurs : Chris Guy, Auteur ; Dominic Ffytche, Auteur Editeur : London : Imperial College Press Année de publication : 2005 Importance : 374 p. Présentation : couv. ill. en coul., ill. Format : 23,5 cm. ISBN/ISSN/EAN : 978-1-86094-502-1 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : The introduction of X-ray computed tomography (CT) 25 years ago revolutionized medical imaging; X-ray CT itself provided the first clear cross-sectional images of the human body, with substantial contrast between different types of soft tissue. The enduring legacy of CT is, however, the spur that it gave to the subsequent introduction of tomographic imaging techniques into diagnostic nuclear medicine and the extraordinarily rapid development of magnetic resonance imaging (MRI) over this period.This book is a non-mathematical introduction to the principles underlying modern medical imaging, taking tomography as its central theme. The first three chapters cover the general principles of tomography, a survey of the atomic and nuclear physics which underpins modern imaging, and a review of the key issues involved in radiation protection. The subsequent chapters deal in turn with X-ray radiography, gamma imaging, MRI and ultrasound. The clinical role of diagnostic imaging is illustrated in the final chapter through the use of fictional clinical histories. Three appendices provide a more mathematical background to the tomographic method, the principles of mathematical Fourier methods, and the mathematics of MRI.This revised edition includes new introductory sections on the relevant physics of molecules in general, and water, in particular. Every chapter now has a table of key points with cross-references to other sections. Several figures have also been revised.The book is intended to provide a broad introductory background to tomographic imaging for two groups of readers: the physics or engineering undergraduate thinking of specializing in medical physics, and the medical student or clinician using tomographic techniques in research and clinical practice. Note de contenu : Contents: -Introduction 1 Tomography 2 Atomic and Nuclear Physics 3 Radiation Protection 4 X-ray Radiography 5 Nuclear Medicine: Gamma Imaging 6 Magnetic Resonance Imaging 7 Ultrasound Imaging 8 Imaging in Clinical Practice Appendix A: Waves, Images and Fourier analysis Appendix B: Fourier Image Reconstruction Appendix C: Mathematics of NMR -Index An Introduction To The Principles Of Medical Imaging [texte imprimé] / Chris Guy, Auteur ; Dominic Ffytche, Auteur . - London : Imperial College Press, 2005 . - 374 p. : couv. ill. en coul., ill. ; 23,5 cm. ISBN : 978-1-86094-502-1 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : The introduction of X-ray computed tomography (CT) 25 years ago revolutionized medical imaging; X-ray CT itself provided the first clear cross-sectional images of the human body, with substantial contrast between different types of soft tissue. The enduring legacy of CT is, however, the spur that it gave to the subsequent introduction of tomographic imaging techniques into diagnostic nuclear medicine and the extraordinarily rapid development of magnetic resonance imaging (MRI) over this period.This book is a non-mathematical introduction to the principles underlying modern medical imaging, taking tomography as its central theme. The first three chapters cover the general principles of tomography, a survey of the atomic and nuclear physics which underpins modern imaging, and a review of the key issues involved in radiation protection. The subsequent chapters deal in turn with X-ray radiography, gamma imaging, MRI and ultrasound. The clinical role of diagnostic imaging is illustrated in the final chapter through the use of fictional clinical histories. Three appendices provide a more mathematical background to the tomographic method, the principles of mathematical Fourier methods, and the mathematics of MRI.This revised edition includes new introductory sections on the relevant physics of molecules in general, and water, in particular. Every chapter now has a table of key points with cross-references to other sections. Several figures have also been revised.The book is intended to provide a broad introductory background to tomographic imaging for two groups of readers: the physics or engineering undergraduate thinking of specializing in medical physics, and the medical student or clinician using tomographic techniques in research and clinical practice. Note de contenu : Contents: -Introduction 1 Tomography 2 Atomic and Nuclear Physics 3 Radiation Protection 4 X-ray Radiography 5 Nuclear Medicine: Gamma Imaging 6 Magnetic Resonance Imaging 7 Ultrasound Imaging 8 Imaging in Clinical Practice Appendix A: Waves, Images and Fourier analysis Appendix B: Fourier Image Reconstruction Appendix C: Mathematics of NMR -Index

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Biomedical Image Analysis / Rangaraj M. Rangayyan

Public ISBD Titre : Biomedical Image Analysis Type de document : texte imprimé Auteurs : Rangaraj M. Rangayyan, Auteur Editeur : Boca Raton; London; New York : CRC Press Année de publication : 2005 Collection : The Biomedical Engineering Series Importance : 1272 p. Présentation : couv. ill.,ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8493-9695-3 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : 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. Note de contenu : Contents 1 THE NATURE OF BIOMEDICAL IMAGES Body Temperature as an Image X-ray Imaging Nuclear Medicine Imaging 2 IMAGE QUALITY AND INFORMATION CONTENT Histogram The Fourier Transform and Spectral Content Modulation Transfer Function Signal-to-Noise Ratio 3 REMOVAL OF ARTIFACTS Optimal Filtering Adaptive Filters Comparative Analysis of Filters for Noise Removal Application: Noise Reduction in Nuclear Medicine Imaging 4 IMAGE ENHANCEMENT Dual-energy and Energy-subtraction X-ray Imaging Gray-scale Transforms Homomorphic Filtering for Enhancement Adaptive Contrast Enhancement 5 DETECTION OF REGIONS OF INTEREST Application: Detection of the Spinal Canal Application: Detection of the Breast Boundary in Mammograms Application: Detection of the Pectoral Muscle in Mammograms Application: Improved Segmentation of Breast Masses by Fuzzy-set-based Fusion of Contours and Regions 6 ANALYSIS OF SHAPE Analysis of Spicularity Application: Shape Analysis of Calcifications Application: Shape Analysis of Breast Masses and Tumors 7 ANALYSIS OF TEXTURE Texture in Biomedical Images Laws' Measures of Texture Energy Audification and Sonification of Texture in Images Application: Analysis of Breast Masses Using Texture and Gradient Measures 8 ANALYSIS OF ORIENTED PATTERNS Hough-Radon Transform Analysis Application: Analysis of Ligament Healing Application: Detection of Breast Tumors Application: Bilateral Asymmetry in Mammograms 9 IMAGE RECONSTRUCTION FROM PROJECTIONS Display of CT Images Microtomography Application: Analysis of the Tumor in Neuroblastoma 10 DECONVOLUTION, DEBLURRING, AND RESTORATION Linear Space-invariant Restoration Filters Homomorphic Deconvolution Space-variant Restoration Application: Restoration of Nuclear Medicine Images 11 IMAGE CODING AND DATA COMPRESSION Application: Source Coding of Digitized Mammograms mage Scanning Using the Peano-Hilbert Curve Image Coding and Compression Standards Segmentation-based Adaptive Scanning Enhanced JBIG Coding Lower-limit Analysis of Lossless Data Compression Application: Teleradiology 12 PATTERN CLASSIFICATION AND DIAGNOSTIC DECISION Neural Networks Application: Image Enhancement for Breast Cancer Screening Application: Classification of Breast Masses and Tumors via Shape Analysis Application: Content-based Retrieval and Analysis of Breast Masses -REFERENCES -INDEX Biomedical Image Analysis [texte imprimé] / Rangaraj M. Rangayyan, Auteur . - Boca Raton; London; New York : CRC Press, 2005 . - 1272 p. : couv. ill.,ill. ; 24 cm.. - (The Biomedical Engineering Series) . ISBN : 978-0-8493-9695-3 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : 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. Note de contenu : Contents 1 THE NATURE OF BIOMEDICAL IMAGES Body Temperature as an Image X-ray Imaging Nuclear Medicine Imaging 2 IMAGE QUALITY AND INFORMATION CONTENT Histogram The Fourier Transform and Spectral Content Modulation Transfer Function Signal-to-Noise Ratio 3 REMOVAL OF ARTIFACTS Optimal Filtering Adaptive Filters Comparative Analysis of Filters for Noise Removal Application: Noise Reduction in Nuclear Medicine Imaging 4 IMAGE ENHANCEMENT Dual-energy and Energy-subtraction X-ray Imaging Gray-scale Transforms Homomorphic Filtering for Enhancement Adaptive Contrast Enhancement 5 DETECTION OF REGIONS OF INTEREST Application: Detection of the Spinal Canal Application: Detection of the Breast Boundary in Mammograms Application: Detection of the Pectoral Muscle in Mammograms Application: Improved Segmentation of Breast Masses by Fuzzy-set-based Fusion of Contours and Regions 6 ANALYSIS OF SHAPE Analysis of Spicularity Application: Shape Analysis of Calcifications Application: Shape Analysis of Breast Masses and Tumors 7 ANALYSIS OF TEXTURE Texture in Biomedical Images Laws' Measures of Texture Energy Audification and Sonification of Texture in Images Application: Analysis of Breast Masses Using Texture and Gradient Measures 8 ANALYSIS OF ORIENTED PATTERNS Hough-Radon Transform Analysis Application: Analysis of Ligament Healing Application: Detection of Breast Tumors Application: Bilateral Asymmetry in Mammograms 9 IMAGE RECONSTRUCTION FROM PROJECTIONS Display of CT Images Microtomography Application: Analysis of the Tumor in Neuroblastoma 10 DECONVOLUTION, DEBLURRING, AND RESTORATION Linear Space-invariant Restoration Filters Homomorphic Deconvolution Space-variant Restoration Application: Restoration of Nuclear Medicine Images 11 IMAGE CODING AND DATA COMPRESSION Application: Source Coding of Digitized Mammograms mage Scanning Using the Peano-Hilbert Curve Image Coding and Compression Standards Segmentation-based Adaptive Scanning Enhanced JBIG Coding Lower-limit Analysis of Lossless Data Compression Application: Teleradiology 12 PATTERN CLASSIFICATION AND DIAGNOSTIC DECISION Neural Networks Application: Image Enhancement for Breast Cancer Screening Application: Classification of Breast Masses and Tumors via Shape Analysis Application: Content-based Retrieval and Analysis of Breast Masses -REFERENCES -INDEX

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Biomedical imaging / Reiner Salzer

Public ISBD Titre : Biomedical imaging : principles and applications Type de document : texte imprimé Auteurs : Reiner Salzer, Auteur Editeur : Hoboken,New jersey : John Wiley & Sons, Inc Année de publication : 2012 Importance : 423 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-470-64847-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may mean fewer animal lab tests and clinical trials. Note de contenu : Contents: 1 Evaluation of Spectroscopic Images 1.2 Data Analysis 1.3 Applications 2 Evaluation of Tomographic Data 2.2 Image Reconstruction 2.3 Image Data Representation: Pixel Size and Image Resolution 2.4 Consequences of Limited Spatial Resolution 2.5 Tomographic Data Evaluation: Tasks 3 X-Ray Imaging 3.1 Basics 3.2 Instrumentation 3.3 Clinical Applications 3.4 Radiation Exposure to Patients and Employees 4 Computed Tomography 4.1 Basics 4.2 Instrumentation 4.3 Measurement Techniques 4.4 Applications 4.4.1 Clinical Applications of Computed Tomography, 4.4.2 Radiation Dose in Typical Clinical Applications and Methods for Dose Reduction 4.5 Outlook 5 Magnetic Resonance Technology 5.2 Magnetic Nuclei Spin in a Magnetic Field 5.3 Image Creation 5.6 Noise in the Image 5.11 Reading the Mind—Functional MRI 6 Toward A 3D View of Cellular Architecture: Correlative Light Microscopy and Electron Tomography 6.3 Stains for CLEM 6.5 CLEM Applications 7 Tracer Imaging 7.2 Instrumentation 7.3 Measurement Techniques 7.4 Applications 8 Fluorescence Imaging 8.2 Contrast Mechanisms 8.3 Direct Methods: Fluorescent Probes 8.4 Indirect Methods: Fluorescent Proteins 8.5 Microscopy 8.7 Planar Imaging 8.8 Tomography 9 Infrared and Raman Spectroscopic Imaging 9.2 Instrumentation 9.3 Raman Imaging 9.4 Sampling Techniques 9.5 Data Analysis and Image Evaluation 10 Coherent Anti-Stokes Raman Scattering Microscopy 10.1 Basics 10.3 CARS Microscopy in Practice 10.5 Laser Sources 10.6 Data Acquisition 10.7 Measurement Techniques 11 Biomedical Sonography 11.1 Basic Principles 11.2 Instrumentation of Real-Time Ultrasound Imaging 11.3 Measurement Techniques of Real-Time Ultrasound Imaging 11.4 Application Examples of Biomedical Sonography 12 Acoustic Microscopy for Biomedical Applications 12.1 Sound Waves and Basics of Acoustic Microscopy 12.2 Types of Acoustic Microscopy 12.3 Biomedical Applications of Acoustic Microscopy 12.4 Examples of Tissue Investigations using SAM Index Biomedical imaging : principles and applications [texte imprimé] / Reiner Salzer, Auteur . - Hoboken,New jersey : John Wiley & Sons, Inc, 2012 . - 423 p. : couv. ill. en coul., ill. ; 24 cm. ISBN : 978-0-470-64847-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : This book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may mean fewer animal lab tests and clinical trials. Note de contenu : Contents: 1 Evaluation of Spectroscopic Images 1.2 Data Analysis 1.3 Applications 2 Evaluation of Tomographic Data 2.2 Image Reconstruction 2.3 Image Data Representation: Pixel Size and Image Resolution 2.4 Consequences of Limited Spatial Resolution 2.5 Tomographic Data Evaluation: Tasks 3 X-Ray Imaging 3.1 Basics 3.2 Instrumentation 3.3 Clinical Applications 3.4 Radiation Exposure to Patients and Employees 4 Computed Tomography 4.1 Basics 4.2 Instrumentation 4.3 Measurement Techniques 4.4 Applications 4.4.1 Clinical Applications of Computed Tomography, 4.4.2 Radiation Dose in Typical Clinical Applications and Methods for Dose Reduction 4.5 Outlook 5 Magnetic Resonance Technology 5.2 Magnetic Nuclei Spin in a Magnetic Field 5.3 Image Creation 5.6 Noise in the Image 5.11 Reading the Mind—Functional MRI 6 Toward A 3D View of Cellular Architecture: Correlative Light Microscopy and Electron Tomography 6.3 Stains for CLEM 6.5 CLEM Applications 7 Tracer Imaging 7.2 Instrumentation 7.3 Measurement Techniques 7.4 Applications 8 Fluorescence Imaging 8.2 Contrast Mechanisms 8.3 Direct Methods: Fluorescent Probes 8.4 Indirect Methods: Fluorescent Proteins 8.5 Microscopy 8.7 Planar Imaging 8.8 Tomography 9 Infrared and Raman Spectroscopic Imaging 9.2 Instrumentation 9.3 Raman Imaging 9.4 Sampling Techniques 9.5 Data Analysis and Image Evaluation 10 Coherent Anti-Stokes Raman Scattering Microscopy 10.1 Basics 10.3 CARS Microscopy in Practice 10.5 Laser Sources 10.6 Data Acquisition 10.7 Measurement Techniques 11 Biomedical Sonography 11.1 Basic Principles 11.2 Instrumentation of Real-Time Ultrasound Imaging 11.3 Measurement Techniques of Real-Time Ultrasound Imaging 11.4 Application Examples of Biomedical Sonography 12 Acoustic Microscopy for Biomedical Applications 12.1 Sound Waves and Basics of Acoustic Microscopy 12.2 Types of Acoustic Microscopy 12.3 Biomedical Applications of Acoustic Microscopy 12.4 Examples of Tissue Investigations using SAM Index

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Biomedical signal and image processing / Kayvan Najarian

Public ISBD Titre : Biomedical signal and image processing Type de document : texte imprimé Auteurs : Kayvan Najarian, Auteur ; Robert Splinter, Auteur Editeur : Boca Raton; London; New York : CRC Press/Taylor & Françis Group Année de publication : 2006 Importance : 417 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-8493-2099-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each. This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities. Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight Integrating all major modalities and computatonal techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional. Note de contenu : Contents: SECTION I INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING Chapter 1 Signals and Biomedical Signal Processing Chapter 2 Fourier Transform Chapter 3 Image Filtering, Enhancement, and Restoration Chapter 4 Edge Detection and Segmentation of Images Chapter 5 Wavelet Transform Chapter 6 Other Signal and Image Processing Methods Chapter 7 Clustering and Classification SECTION II PROCESSING OF BIOMEDICAL SIGNALS Chapter 8 Electrical Activities of Cell Chapter 9 Electrocardiogram Chapter 10 Electroencephalogram Chapter 11 Electromyogram Chapter 12 Other Biomedical Signals SECTION III PROCESSING OF BIOMEDICAL IMAGES Chapter 13 Principles of Computed Tomography Chapter 14 X-Ray Imaging and Computed Tomography Chapter 15 Magnetic resonance imaging Chapter 16 Ultrasound Imaging Chapter 17 Positron Emission Tomography Chapter 18 Other Biomedical Imaging Techniques Biomedical signal and image processing [texte imprimé] / Kayvan Najarian, Auteur ; Robert Splinter, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2006 . - 417 p. : couv. ill. en coul., ill. ; 24 cm. ISBN : 978-0-8493-2099-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-03 Traitement d'images médicales Résumé : All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each. This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities. Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight Integrating all major modalities and computatonal techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional. Note de contenu : Contents: SECTION I INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING Chapter 1 Signals and Biomedical Signal Processing Chapter 2 Fourier Transform Chapter 3 Image Filtering, Enhancement, and Restoration Chapter 4 Edge Detection and Segmentation of Images Chapter 5 Wavelet Transform Chapter 6 Other Signal and Image Processing Methods Chapter 7 Clustering and Classification SECTION II PROCESSING OF BIOMEDICAL SIGNALS Chapter 8 Electrical Activities of Cell Chapter 9 Electrocardiogram Chapter 10 Electroencephalogram Chapter 11 Electromyogram Chapter 12 Other Biomedical Signals SECTION III PROCESSING OF BIOMEDICAL IMAGES Chapter 13 Principles of Computed Tomography Chapter 14 X-Ray Imaging and Computed Tomography Chapter 15 Magnetic resonance imaging Chapter 16 Ultrasound Imaging Chapter 17 Positron Emission Tomography Chapter 18 Other Biomedical Imaging Techniques

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Compression des images et des signaux médicaux / Amine Naït-Ali

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Fundamentals of Medical Imaging / Paul Suetens

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Guide des technologies de l'imagerie médicale et de la radiothérapie / Jean-Philippe Dillenseger

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Imagerie médicale à base de champ magnétique et d'ultrasons / André Briguet

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Imagerie médicale à base de photons / Hervé Fanet

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Introduction to Medical Imaging / Nadine Barrie Smith

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Magnetic Resonance Imaging Theory and Practice / Marinus T. Vlaardingerbroek

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Medical image analysis methods / Lena Costaridou

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Medical Image Processing, Reconstruction and Restoration / Jiri Jan

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Medical imaging / Harry Levine

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