| 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 : | 978-0-84939-695-3 | | 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 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 : 978-0-84939-695-3 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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