| 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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