Biomedical signal and image processing:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC/Taylor & Francis
2006
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 417 S. Ill., graph. Darst. |
| ISBN: | 0849320992 9780849320996 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1804140952769527808 |
|---|---|
| adam_text | Contents
SECTION I Introduction to Digital Signal and
Image Processing
Chapter 1 Signals and Biomedical Signal Processing 3
1.1 Introduction and Overview 3
1.2 What Is a Signal ? 3
1.3 Analog, Discrete, and Digital Signals 4
1.3.1 Analog Signals 4
1.3.2 Discrete Signals 4
1.3.3 Digital Signals 5
1.4 Processing and Transformation of Signals 7
1.5 Signal Processing for Feature Extraction 8
1.6 Some Characteristics of Digital Images 9
1.6.1 Image Capturing 9
1.6.2 Image Representation 9
1.6.3 Image Histogram 11
1.7 Summary 12
1.8 Problems 13
Chapter 2 Fourier Transform 15
2.1 Introduction and Overview 15
2.2 One-Dimensional Continuous Fourier Transform 15
2.2.1 Properties of One-Dimensional Fourier Transforms 24
2.2.1.1 Signal Shift 24
2.2.1.2 Convolution 25
2.2.1.3 Linear Systems Analysis 25
2.2.1.4 Differentiation 27
2.2.1.5 Scaling Property 27
2.3 Sampling and NYQUIST Rate 28
2.4 One-Dimensional Discrete Fourier Transform 29
2.4.1 Properties of the DFT 29
2.5 Two-Dimensional Discrete Fourier Transform 32
2.6 Filter Design 35
2.7 Summary 38
2.8 Problems 38
Note 40
Chapter 3 Image Filtering, Enhancement, and Restoration 41
3.1 Introduction and Overview 41
3.2 Point Processing 42
3.2.1 Contrast Enhancement 42
3.2.2 Bit-Level Slicing 45
3.2.3 Histogram Equalization 48
3.3 Mask Processing: Linear Filtering in the Space Domain 52
3.3.1 Lowpass Filters 52
3.3.2 Median Filters 54
3.3.3 Sharpening Spatial Filters 59
3.3.3.1 Highpass Filters 59
3.3.3.2 High-Boost Filters 60
3.3.3.3 Derivative Filters 63
3.4 Frequency Domain Filtering 66
3.4.1 Smoothing Filters in the Frequency Domain 66
3.4.1.1 Ideal Lowpass Filters 66
3.4.1.2 Butterworth Lowpass Filters 67
3.4.2 Sharpening Filters in the Frequency Domain 68
3.4.2.1 Ideal Highpass Filters 68
3.4.2.2 Butterworth Highpass Filters 68
3.5 Summary 68
3.6 Problems 69
Notes 70
Chapter 4 Edge Detection and Segmentation of Images 71
4.1 Introduction and Overview 71
4.2 Edge Detection 71
4.2.1 Sobel Edge Detection 71
4.2.2 Laplacian of Gaussian Edge Detection 74
4.2.3 Canny Edge Detection 75
4.3 Image Segmentation 78
4.3.1 Point Detection 79
4.3.2 Line Detection 81
4.3.3 Region and Object Segmentation 82
4.3.3.1 Region Segmentation Using Luminance
Thresholding 83
4.3.3.2 Region Growing 84
4.3.3.3 Quad-Trees 85
4.4 Summary 86
4.5 Problems 86
Chapter 5 Wavelet Transform 89
5.1 Introduction and Overview 89
5.2 From Fourier Transform to Short-Time Fourier Transform 89
5.3 One-Dimensional Continuous Wavelet Transform 95
5.4 One-Dimensional Discrete Wavelet Transform 98
5.4.1 Discrete Wavelet Transform on Discrete Signals 100
5.5 Two-Dimensional Wavelet Transform 103
5.5.1 Two-Dimensional Discrete Wavelet Transform 104
5.6 Main Applications of the DWT 107
5.6.1 Filtering and Denoising 107
5.6.2 Compression 108
5.7 Discrete Wavelet Transform in Matlab 108
5.8 Summary 109
5.9 Problems 109
Notes 110
Chapter 6 Other Signal and Image Processing Methods 111
6.1 Introduction and Overview 111
6.2 Complexity Analysis 111
6.2.1 Signal Complexity and Signal Mobility 112
6.2.2 Fractal Dimension 113
6.2.3 Wavelet Measures 114
6.2.4 Entropy 114
6.3 Cosine Transform 114
6.4 Introduction to Stochastic Processes 118
6.4.1 Statistical Measures for Stochastic Processes 119
6.4.2 Stationary and Ergodic Stochastic Processes 120
6.4.3 Correlation Functions and Power Spectra 122
6.5 Introduction to Information Theory 126
6.5.1 Entropy 126
6.5.2 Data Representation and Coding 127
6.5.3 Hoffman Coding 129
6.6 Registration of Images 130
6.7 Summary 133
6.8 Problems 134
Note 136
Chapter 7 Clustering and Classification 137
7.1 Introduction and Overview 137
7.2 Clustering versus Classification 137
7.3 Feature Extraction 140
7.3.1 Biomedical and Biological Features 140
7.3.2 Signal and Image Processing Features 140
7.3.2.1 Signal Power in Frequency Bands 141
7.3.2.2 Wavelet Measures 141
7.3.2.3 Complexity Measures 141
7.3.2.4 Geometric Measures 141
7.4 K-Means: A Simple Clustering Method 143
7.5 Bayesian Classifier 147
7.5.1 Loss Function 149
7.6 Maximum Likelihood Method 151
7.7 Neural Networks 153
7.7.1 Perceptrons 154
7.7.2 Sigmoid Neural Networks 159
7.7.2.1 Activation Function 160
7.7.2.2 Backpropagation Algorithm 161
7.7.2.3 Momentum 162
7.7.3 Matlab for Neural Networks 163
7.8 Summary 164
7.9 Problems 164
Note 167
SECTION II Processing of Biomedical Signals
Chapter 8 Electrical Activities of Cell 171
8.1 Introduction and Overview 171
8.2 Ion Transport in Biological Cells 171
8.2.1 Transmembrane Potential 172
8.3 Electrical Characteristics of Cell Membranes 176
8.3.1 Membrane Resistance 176
8.3.2 Membrane Capacitance 177
8.3.3 The Cell Membrane s Equivalent Electrical Circuit 177
8.3.4 Action Potential 178
8.4 Hodgkin-Huxley Model 180
8.5 Electrical Data Acquisition 182
8.5.1 Propagation of Electrical Potential as a Wave 184
8.6 Some Practical Considerations for Biomedical Electrodes 185
8.7 Summary 186
8.8 Problems 186
Note 187
Chapter 9 Electrocardiogram 189
9.1 Introduction and Overview 189
9.2 Function and Structure of the Heart 189
9.2.1 Cardiac Muscle 191
9.2.2 The Cardiac Excitation Process 192
9.3 Electrocardiogram: Signal of the Cardiovascular System 194
9.3.1 Origin of the ECG 194
9.3.2 ECG Electrode Placement 196
9.3.3 Modeling and Representation of the ECG 198
9.3.4 Periodicity of the ECG: Heart Rate 199
9.4 Cardiovascular Diseases and the ECG 200
9.4.1 Atrial Fibrillation 200
9.4.2 Ventricular Arrhythmias 200
9.4.3 Ventricular Tachycardia 202
9.4.4 Ventricular Fibrillation 202
9.4.5 Myocardial Infarction 202
9.4.6 Atrial Flutter 203
9.4.7 Cardiac Re-entry 204
9.4.8 Atrioventricular (AV) Block 204
9.4.8.1 Main Types of AV Block 204
9.4.9 Wolf-Parkinson-White (WPW) Syndrome 207
9.4.10 Extra-Systole 208
9.5 Processing and Feature Extraction of ECGs 208
9.5.1 Time Domain Analysis 209
9.5.2 Frequency Domain Analysis 209
9.5.3 Wavelet Domain Analysis 211
9.6 Summary 212
9.7 Problems 212
Notes 213
Chapter 10 Electroencephalogram 215
10.1 Introduction and Overview 215
10.2 The Brain and Its Functions 215
10.3 Electroencephalogram: Signal of the Brain 217
10.3.1 EEG Frequency Spectrum 218
10.3.2 Significance of the EEG 221
10.4 Evoked Potentials 222
10.4.1 Auditory Evoked Potentials 222
10.4.2 Somatosensory Evoked Potentials 222
10.4.3 Visual Evoked Potentials 223
10.4.4 Event-Related Potentials 223
10.5 Diseases of the Central Nervous System and the EEG 225
10.5.1 Epilepsy 225
10.5.2 Sleep Disorders 227
10.5.3 Brain Tumors 228
10.5.4 Other Diseases 228
10.6 EEG for Assessment of Anesthesia 228
10.7 Processing and Feature Extraction of EEGs 229
10.7.1 Sources of Noise on EEGs 229
10.7.2 Frequency Domain Analysis 230
10.7.3 Time Domain Analysis 231
10.7.3.1 Coherence Analysis 232
10.7.4 Wavelet Domain Analysis 233
10.8 Summary 233
10.9 Problems 234
Notes 235
Chapter 11 Electromyogram 237
11.1 Introduction and Overview 237
11.2 Muscle 237
11.2.1 The Motor Unit 238
11.2.2 Muscle Contraction 240
11.2.3 Muscle Force 241
11.3 EMG: Signal Muscles 242
11.3.1 Significance of the EMG 244
11.4 Neuromuscular Diseases and the EMG 246
11.4.1 Abnormal Enervation 246
11.4.2 Pathologic Motor Units 247
11.4.3 Abnormal Neuromuscular Transmission in Motor Units 248
11.4.4 Defects in Muscle Cell Membrane 249
11.5 Other Applications of the EMG 249
11.6 Processing and Feature Extraction of the EMG 250
11.6.1 Sources of Noise on the EMG 250
11.6.2 Time-Domain Analysis 251
11.6.3 Frequency and Wavelet Domain Analysis 252
11.7 Summary 253
11.8 Problems 253
Notes 255
Chapter 12 Other Biomedical Signals 257
12.1 Introduction and Overview 257
12.2 Blood Pressure and Blood Flow 257
12.3 Electrooculogram 258
12.4 Magnetoencephalogram 260
12.5 Respiratory Signals 262
12.6 More Biomedical Signals 264
12.7 Summary 265
12.8 Problems 265
Note 266
SECTION III Processing of Biomedical Images
Chapter 13 Principles of Computed Tomography 269
13.1 Introduction and Overview 269
13.1.1 Attenuation Tomography 270
15.10 Summary 330
15.11 Problems 331
Notes 332
Chapter 16 Ultrasound Imaging 333
16.1 Introduction and Overview 333
16.2 Why Ultrasound Imaging? 333
16.3 Generation and Detection of Ultrasound Waves 334
16.4 Physical and Physiological Principles of Ultrasound 335
16.4.1 Fundamental Ultrasound Concepts 335
16.4.2 Wave Equation 337
16.4.3 Attenuation 338
16.4.4 Reflection 340
16.5 Resolution of Ultrasound Imaging Systems 342
16.6 Ultrasound Imaging Modalities 343
16.6.1 Attenuation Tomography 345
16.6.2 Ultrasound Time-of-Flight Tomography 349
16.6.3 Reflection Tomography 350
16.6.3.1 Doppler Ultrasound Imaging 352
16.7 Modes of Ultrasound Image Representation 353
16.8 Ultrasound Image Artifacts 354
16.9 Three-Dimensional Ultrasound Image Reconstruction 356
16.10 Applications of Ultrasound Imaging 357
16.11 Processing and Feature Extraction of Ultrasonic Images 358
16.12 Image Registration 359
16.13 Comparison of CT, MRI, and Ultrasonic Images 360
16.14 Bio-Effects of Ultrasound 360
16.15 Summary 361
16.16 Problems 361
Notes 364
Chapter 17 Positron Emission Tomography 365
17.1 Introduction and Overview 365
17.2 Physical and Physiological Principles of PET 365
17.2.1 Production of Radio-Nucleotides 366
17.2.2 The Degeneration Process 367
17.3 PET Signal Acquisition 368
17.3.1 Radioactive Detection in PET 369
17.4 PET Image Formation 371
17.5 Significance of PET 372
17.6 Applications of PET 373
17.6.1 Cancer Tumor Detection 373
17.6.2 Functional Brain Mapping 374
17.6.3 Functional Heart Imaging 375
17.6.4 Anatomical Imaging 376
17.7 Processing and Feature Extraction of PET Images 377
17.7.1 Sources of Noise and Blurring in PET 377
17.7.2 Image Registration with PET 377
17.8 Comparison of CT, MRI, and PET Images 378
17.9 Summary 379
17.10 Problems 379
Notes 381
Chapter 18 Other Biomedical Imaging Techniques 383
18.1 Introduction and Overview 383
18.2 Optical Microscopy 384
18.3 Fluorescent Microscopy 385
18.4 Confocal Microscopy 388
18.5 Near-Field Scanning Optical Microscopy 389
18.6 Electrical Impedance Imaging 391
18.7 Electron Microscopy 394
18.7.1 Transmission Electron Microscopy 395
18.7.2 Scanning Electron Microscopy 395
18.7.3 Infrared Imaging 395
18.8 Biometrics 397
18.8.1 Biometrics Methodology 399
18.8.2 Biometrics Using Fingerprints 400
18.8.3 Biometrics Using Retina Scans 401
18.8.4 Biometrics Using Iris Scans 402
18.9 Summary 403
18.10 Problems 404
Notes 404
Related Titles 405
Index 407
13.1.2 Time-of-Flight Tomography 271
13.1.3 Reflection Tomography 271
13.1.4 Diffraction Tomography 272
13.2 Formulation of Attenuation Computed Tomography 273
13.2.1 Attenuation Tomography 275
13.3 The Fourier Slice Theorem 278
13.4 Summary 280
13.5 Problems 281
Chapter 14 X-Ray Imaging and Computed Tomography 283
14.1 Introduction and Overview 283
14.2 Physics of X-Rays 283
14.2.1 Imaging with X-Rays 286
14.2.2 Radiation Dose 287
14.3 Attenuation-Based X-Ray Imaging 288
14.3.1 X-Ray Detection 289
14.4 Image Quality 293
14.5 Computed Tomography 295
14.6 Biomedical CT Scanners 296
14.7 Diagnostic Applications of X-Ray Imaging 299
14.8 CT Images for Stereotactic Surgeries 300
14.9 CT Registration for Other Image-Guided Interventions 300
14.10 Complications of X-Ray Imaging 301
14.11 Summary 302
14.12 Problems 302
Notes 304
Chapter 15 Magnetic Resonance Imaging 305
15.1 Introduction and Overview 305
15.2 Physical and Physiological Principles of MRI 306
15.2.1 Resonance 310
15.3 MRI 313
15.4 Formulation of MRI Reconstruction 317
15.5 Functional MRI (/MRI) 320
15.5.1 Bold MRI 322
15.6 Applications of MRI and /MRI 322
15.6.1 /MRI for Monitoring Audio Activities of the Brain 323
15.6.2 /MRI for Monitoring Motoneuron Activities of the Brain 325
15.6.3 /MRI for Monitoring Visual Cortex Activities 325
15.7 Processing and Feature Extraction of MRI 326
15.7.1 Sources of Noise and Filtering Methods in MRI 326
15.7.2 Feature Extraction 327
15.8 Comparison of MRI with Other Imaging Modalities 328
15.9 Registration with MR Images 329
|
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| discipline | Biologie Medizin |
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| id | DE-604.BV024701344 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:08:09Z |
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| isbn | 0849320992 9780849320996 |
| language | English |
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| record_format | marc |
| spelling | Najarian, Kayvan Verfasser aut Biomedical signal and image processing Kayvan Najarian; Robert Splinter Boca Raton, Fla. [u.a.] CRC/Taylor & Francis 2006 417 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Biomedizinische Technik (DE-588)4006882-1 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Biomedizin (DE-588)4647152-2 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 s Biomedizin (DE-588)4647152-2 s DE-604 Bildverarbeitung (DE-588)4006684-8 s Biomedizinische Technik (DE-588)4006882-1 s DE-188 Splinter, Robert Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018822818&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Najarian, Kayvan Splinter, Robert Biomedical signal and image processing Biomedizinische Technik (DE-588)4006882-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Signalverarbeitung (DE-588)4054947-1 gnd Biomedizin (DE-588)4647152-2 gnd |
| subject_GND | (DE-588)4006882-1 (DE-588)4006684-8 (DE-588)4054947-1 (DE-588)4647152-2 |
| title | Biomedical signal and image processing |
| title_auth | Biomedical signal and image processing |
| title_exact_search | Biomedical signal and image processing |
| title_full | Biomedical signal and image processing Kayvan Najarian; Robert Splinter |
| title_fullStr | Biomedical signal and image processing Kayvan Najarian; Robert Splinter |
| title_full_unstemmed | Biomedical signal and image processing Kayvan Najarian; Robert Splinter |
| title_short | Biomedical signal and image processing |
| title_sort | biomedical signal and image processing |
| topic | Biomedizinische Technik (DE-588)4006882-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Signalverarbeitung (DE-588)4054947-1 gnd Biomedizin (DE-588)4647152-2 gnd |
| topic_facet | Biomedizinische Technik Bildverarbeitung Signalverarbeitung Biomedizin |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018822818&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT najariankayvan biomedicalsignalandimageprocessing AT splinterrobert biomedicalsignalandimageprocessing |