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The principle of tomography is to explore the structure and composition of objects non-destructively along spatial and temporal dimensions, using penetrating radiation, such as X- and gamma-rays, or waves, such as electromagnetic and acoustic waves. Based on computer-assisted image reconstruction, tomography provides maps of parameters that characterize the emission of the employed radiation or waves, or their interaction with the examined objects, for one or several cross-sections. Thus, it gives access to the inner structure of inert objects and living organisms in their full complexity. In this book, multidisciplinary specialists explain the foundations and principles of tomographic imaging and describe a broad range of applications. The content is organized in five parts, which are dedicated to image reconstruction, microtomography, industrial tomography, morphological medical tomography and functional medical tomography.
Auteur
Pierre Grangeat (Telecommunication Engineer, Ph.D., IEEE Senior Member) is a Research Director at CEA, LETI, MINATEC, in Grenoble, France. His field of research covers information processing for biomedical technologies.
Contenu
Preface xvii Notation xxi
Chapter 1. Introduction to Tomography 1
Pierre GRANGEAT
1.1. Introduction 1
1.2. Observing contrasts 2
1.3. Localization in space and time 7
1.4. Image reconstruction 9
1.5. Application domains 12
1.6. Bibliography 17
PART 1. IMAGE RECONSTRUCTION 21
Chapter 2. Analytical Methods 23
Michel DEFRISE and Pierre GRANGEAT
2.1. Introduction 23
2.2. 2D Radon transform in parallel-beam geometry 25
2.3. 2D Radon transform in fan-beam geometry 32
2.4. 3D X-ray transform in parallel-beam geometry 37
2.5. 3D Radon transform 40
2.6. 3D positron emission tomography 42
2.7. X-ray tomography in cone-beam geometry 46
2.8. Dynamic tomography 54
2.9. Bibliography . 58
Chapter 3. Sampling Conditions in Tomography 63
Laurent DESBAT and Catherine MENNESSIER
3.1. Sampling of functions in R6 3
3.2. Sampling of the 2D Radon transform 71
3.3. Sampling in 3D tomography 79
3.4. Bibliography 85
Chapter 4. Discrete Methods 89
Habib BENALI and Françoise PEYRIN
4.1. Introduction 89
4.2. Discrete models 90
4.3. Algebraic methods 92
4.4. Statistical methods 99
4.5. Example of tomographic reconstruction 110
4.6. Discussion and conclusion 110
4.7. Bibliography 112
PART 2. MICROTOMOGRAPHY 117
Chapter 5. Tomographic Microscopy 119
Yves USSON and Catherine SOUCHIER
5.1. Introduction 119
5.2. Projection tomography in electron microscopy 120
5.3. Tomography by optical sectioning 121
5.4. 3D data processing, reconstruction and analysis 129
5.5. Bibliography 138
Chapter 6. Optical Tomography 141
Christian DEPEURSINGE
6.1. Introduction 141
6.2. Interaction of light with matter 142
6.3. Propagation of photons in diffuse media 150
6.4. Optical tomography methods 164
6.5. Optical tomography in highly diffuse media 181
6.6. Bibliography 190
Chapter 7. Synchrotron Tomography 197
Anne-Marie CHARVET and Françoise PEYRIN
7.1. Introduction 197
7.2. Synchrotron radiation 197
7.3. Quantitative tomography 202
7.4. Microtomography using synchrotron radiation 206
7.5. Extensions 210
7.6. Conclusion 211
7.7. Bibliography 212
PART 3. INDUSTRIAL TOMOGRAPHY 215
Chapter 8. X-ray Tomography in Industrial Non-destructive Testing 217
Gilles PEIX, Philippe DUVAUCHELLE and Jean-Michel LETANG
8.1. Introduction 217
8.2. Physics of the measurement 218
8.3. Sources of radiation 219
8.4. Detection 220
8.5. Reconstruction algorithms and artifacts 223
8.6. Applications 224
8.7. Conclusion 235
8.8. Bibliography 236
Chapter 9. Industrial Applications of Emission Tomography for Flow Visualization 239
Samuel LEGOUPIL and Ghislain PASCAL
9.1. Industrial applications of emission tomography 239
9.2. Examples of applications 242
9.3. Physical model of data acquisition 247
9.4. Definition and characterization of a system 252
9.5. Conclusion 255
9.6. Bibliography 255
PART 4.MORPHOLOGICAL MEDICAL TOMOGRAPHY 257
Chapter 10. Computed Tomography 259
Jean-Louis AMANS and Gilbert FERRETTI
10.1. Introduction 259
10.2. Physics of helical tomography 265
10.3. Applications of volume CT 272 ...