Advances in diagnostic and therapeutic ultrasound imaging:
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| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boston [u.a.]
Artech House
2008
|
| Series: | Bioinformatics & biomedical imaging
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVI, 431 S. Ill., graph. Darst. 1 CD-ROM (12cm) |
| ISBN: | 9781596931442 1596931442 |
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MARC
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| 245 | 1 | 0 | |a Advances in diagnostic and therapeutic ultrasound imaging |c Jasjit S. Suri ..., ed. |
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Record in the Search Index
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|---|---|
| adam_text | Contents
Preface xv
Recent Advances in Ultrasound Instrumentation 1
3-D Ultrasound Imaging 3
1.1 Introduction 3
1.2 Disadvantages of 2-D Ultrasound 4
1.3 3-D Ultrasound Scanning Techniques 4
1.4 Mechanical Scanning 5
1.4.1 Linear Mechanical 3-D Scanners 6
1.4.2 Tilt 3-D Mechanical Scanners 7
1.4.3 Endocavity Rotational 3-D Scanners 7
1.5 Free-Hand Scanning with Position Sensing 9
1.5.1 Tracked 3-D US with Articulated Arm Sensing 9
1.5.2 Free-Hand 3-D US with Acoustic Tracking 9
1.5.3 Free-Hand 3-D Scanning with Magnetic Field Sensing 10
1.5.4 3-D US Tracked by Speckle Decorrelation 10
1.6 Free-Hand 3-D US Scanning Without Position Sensing 11
1.7 2-D Array Scanning for Dynamic 3-D Ultrasound (4-D US) 11
1.8 3-D Ultrasound Visualization 11
1.8.1 Multiplanar Reformatting 11
1.8.2 Volume Rendering Techniques 12
1.9 3-D Ultrasound-Guided Prostate Therapy 13
1.9.1 Early-Stage Prostate Cancer Management 14
1.9.2 US-Guided Prostate Brachytherapy 15
1.9.3 3-D TRUS-Guided Brachytherapy System 15
1.9.4 3-D TRUS Imaging System 16
1.9.5 Prostate Segmentation 17
1.9.6 Dosimetry 19
1.9.7 Calibration of the Coordinate Systems 20
1.9.8 Needle Segmentation 22
v
w Contents
1.10 Evaluation of 3-D TRUS-Guided Brachytherapy System 22
1.10.1 Methods of Calibration 23
1.10.2 Results of Calibration 24
1.10.3 Accuracy of Needle Placement 25
1.10.4 Accuracy of Needle Angulation 26
1.10.5 Accuracy of Needle Targeting 26
1.10.6 Accuracy of Needle Tracking 26
1.10.7 Accuracy of Seed Implantation 28
1.11 Conclusions 28
Acknowledgments 29
References 30
Despeckle Filtering in Ultrasound Imaging of the Carotid Artery 37
2.1 Introduction 37
2.2 Despeckle Filtering 40
2.2.1 Local Statistics Filtering 41
2.2.2 Median Filtering (median) 42
2.2.3 Maximum Homogeneity over a Pixel Neighborhood Filtering
{homog) 42
2.2.4 Geometric Filtering (gf4d) 43
2.2.5 Homomorphic Filtering (homo) 44
2.2.6 Diffusion Filtering 44
2.2.7 Wavelet Filtering (waveltc) 46
2.3 Methodology 47
2.3.1 Material 47
2.3.2 Recording of Ultrasound Images 47
2.3.3 Despeckle Filtering 47
2.3.4 Texture Analysis 48
2.3.5 Distance Measures 49
2.3.6 Univariate Statistical Analysis 50
2.3.7 kNN Classifier 50
2.3.8 Image Quality Evaluation Metrics 50
2.3.9 Visual Evaluation by Experts 50
2.4 Results 51
2.4.1 Evaluation of Despeckle Filtering on a Symptomatic Ultrasound
Image 51
2.4.2 Texture Analysis: Distance Measures 51
2.4.3 Texture Analysis: Univariate Statistical Analysis 54
2.4.4 Texture Analysis: kNN Classifier 54
2.4.5 Image Quality Evaluation Metrics 54
2.4.6 Visual Evaluation by Experts 56
2.5 Discussion 57
Acknowledgments 60
References 60
Contents vii
2-D/3-D Ultrasound in Vascular Imaging 65
3-D US Imaging of the Carotid Arteries 67
3.1 Introduction 67
3.1.1 Limitations of Conventional Carotid Ultrasound Imaging 68
3.2 3-D US Imaging of the Carotid Arteries 69
3.2.1 3-D Carotid Ultrasound Scanning Techniques 69
3.2.2 Reconstruction of 3-D US Images 72
3.2.3 Viewing of 3-D US Images 73
3.3 Measurement of Plaque Volume 73
3.3.1 Plaque Segmentation by Manual Planimetry 73
3.3.2 Studies of Plaque Volume 74
3.3.3 The Effects of Interslice Distance 77
3.3.4 The Accuracy of Plaque Volume Measurements 77
3.3.5 Variability of Plaque Volume Measurements 78
3.3.6 Automated Segmentation of Plaques from 3-D US Images 79
3.3.7 Plaque Surface Morphology 82
3.3.8 Local Distribution and Change of Carotid Wall and Plaque 83
3.3.9 Example Results 86
3.4 Trends and Future Developments 87
3.4.1 The Need for Improved Free-Hand Scanning 88
3.4.2 The Need for Improved Visualization Tools 88
3.4.3 Reduction in the Variability of Plaque Volume Measurement 88
3.4.4 ECG-Triggered Acquisition of 3-D Carotid US Images 88
Acknowledgments 89
References 89
Quality Evaluation of Ultrasound Imaging of the Carotid Artery 93
4.1 Introduction 93
4.2 Methodology 94
4.2.1 Ultrasound Imaging Scanners 94
4.2.2 Material 95
4.2.3 Speckle Reduction 96
4.2.4 Image Normalization 96
4.2.5 Statistical and Texture Analysis 97
4.3 Image Quality and Evaluation Metrics 98
4.3.1 Normalized Mean-Square-Error 98
4.3.2 Normalized Root Mean-Square-Error 98
4.3.3 Normalized Error Summation in the Form of the Minkowski
Metric 98
4.3.4 Normalized Geometric Average Error 99
4.3.5 Normalized Signal-to-Noise Ratio 99
4.3.6 Normalized Peak Signal-to-Noise Radio 99
4.3.7 Mathematically Defined Universal Quality Index 100
viii Contents
4.3.8 Structural Similarity Index 100
4.4 Visual Perception Evaluation 100
4.5 Results 101
4.6 Discussion 105
Acknowledgments 108
References 108
User-Independent Plaque Segmentation and Accurate Intima-Media Thickness
Measurement of Carotid Artery Wall Using Ultrasound 111
5.1 Ultrasound Imaging of the Carotid Wall 112
5.1.1 Carotid Artery Anatomy and Pathology 112
5.1.2 Principles and Validity of Ultrasound Analysis of the Carotid
Artery 113
5.2 Algorithms for the Segmentation of Carotid Artery Ultrasound Images 116
5.2.1 Different Approaches for ROI Extraction 116
5.2.2 Approaches to Image Segmentation 117
5.3 Structure of the CULEX Algorithm 118
5.3.1 ROI Extraction 118
5.3.2 Segmentation of the Lumen and Carotid Wall 122
5.3.3 Notes About the CULEX Segmentation Strategy 123
5.4 CULEX Characterization and Image Databases 125
5.4.1 Percent Statistics Algorithm 125
5.4.2 Confidence Interval for the Average Segmentation 126
5.4.3 Segmentation Error 126
5.4.4 Image Database and Ultrasound Equipment 127
5.5 ROI Detection and Robustness to Noise 128
5.6 Segmentation of the Lumen-Intima and Media-Adventitia Interfaces
and IMT Measurement 130
5.6.1 Absolute Segmentation Errors and IMT Measurements 130
5.6.2 Percent Statistics 133
5.6.3 Confidence Interval for the Mean Segmentation 134
5.7 Plaque Imaging 134
5.7.1 Stable Plaques 136
5.7.2 Unstable Plaques (Echolucent Type II) 137
5.8 Discussion and Conclusions 138
References 139
2-D/3-D Breast Ultrasound Imaging 141
Breast Lesion Classification Using 3-D Ultrasound 143
6.1 Introduction 143
6.2 Level Set Segmentation Method 145
6.2.1 Basic Level Set Theory 145
6.2.2 Summary of Level Set Theory 146
Contents x
6.3 Proposed Architecture for the CAD System 147
6.3.1 Data Acquisition 148
6.3.2 Preprocessing Subsystem Architecture 148
6.3.3 Segmentation Subsystem Based on the Level Set Framework 149
6.3.4 Beam Angle Statistics 151
6.3.5 Similarity Between Shapes: A Classification Strategy 153
6.4 Experimental Protocol, Data Analysis, and Performance Evaluation 156
6.4.1 Similarity Measure Analysis 156
6.4.2 Performance Evaluation 158
6.5 Discussion 159
6.5.1 Discussion About the Dual Level Set 159
6.5.2 Discussion About the Similarity Measure 160
6.5.3 Discussion About Threshold Selection 160
6.6 Conclusion and Future Works 161
References 161
3-D Breast Ultrasound Strain Imaging 165
7.1 Introduction 165
7.2 Review of the 2-D Continuous Strain Imaging System 167
7.3 Proposed Architecture of the 3-D Strain Imaging System 168
7.3.1 Data Acquisition 169
7.3.2 Image Enhancement Via Sigmoid Mapping 170
7.3.3 Segmentation Subsystem Based on the Level Set Framework 170
7.3.4 Strain Features 174
7.4 Experimental Protocol, Data Analysis, and Results 179
7.4.1 2-D and 3-D Experimental Protocols 179
7.4.2 Segmentation Results 179
7.4.3 Classification Strategy Using ROC Curves and SVM 180
7.4.4 Figure of Merit for 2-D Versus 3-D: Performance Evaluation 181
7.5 Discussions 183
7.5.1 Discussion About the Level Set Framework 183
7.5.2 Discussion About Strain Features 183
7.5.3 Discussion About 3-D Versus 2-D Strain Methods 184
7.6 Conclusion 184
References 185
Automatic Classification of Breast Lesions in 3-D Ultrasound Images 189
8.1 Introduction 189
8.2 Related Works 191
8.2.1 Breast Cancer Diagnosis with Autocorrelation Matrix 192
8.2.2 Solid Breast Nodules with Neural Networks 195
8.3 Theoretical Background 198
8.3.1 Tsallis Entropy 198
8.3.2 The Nonextensive Segmentation Approaches 200
8.3.3 Morphological Chains: Mathematical Morphology Definitions 211
x Contents
8.4 The Proposed Five-Step Methodology 212
8.5 Performance Evaluation 217
8.6 Discussion and Conclusions 218
Acknowledgments 220
References 220
3-D Cardiac Ultrasound Imaging 225
Cardiac Motion Analysis Based on Optical Flow of Real-Time 3-D
Ultrasound Data 227
9.1 Real-Time 3-D Echocardiography 228
9.2 Anisotropic Diffusion 228
9.3 Tracking of LV Endocardial Surface on Real-Time 3-D Ultrasound
with Optical Flow 230
9.3.1 Correlation-Based Optical Flow 231
9.3.2 3-D Ultrasound Datasets 232
9.3.3 Surface Tracing 232
9.3.4 Surface Tracking with Optical Flow 233
9.3.5 Evaluation 233
9.3.6 Results 234
9.4 Dynamic Cardiac Information from Optical Flow 237
9.4.1 Coordinate Systems 238
9.4.2 Dynamic Cardiac Information Measurements 239
9.4.3 Data 240
9.4.4 Results and Discussion 240
9.4.5 Discussion About Estimation of the Myocardial Field 242
9.5 Summary 243
Acknowledgments 243
References 243
Echocardiography: A Tool for LVSD Identification 247
10.1 Introduction 247
10.1.1 Left Ventricular Systolic Dysfunction 248
10.1.2 Determinants of LV Systolic Performance 249
10.2 Assessment of Left Ventricular Function—An Overview 249
10.2.1 Ejection Phase Indices 250
10.2.2 Isovolumetric Indices 251
10.2.3 Pressure-Volume Analysis 252
10.2.4 Left Ventricular Stress Strain Relationship 256
10.3 Echocardiographic Examinations 257
10.3.1 Echocardiographic Measurements and Calculations 258
10.3.2 Real-Time Left Ventricular Volume by Automated Boundary
Detection 262
10.4 Left Ventricle Systolic Dysfunction Identification 263
Contents xj
10.4.1 Delineation of Left Ventricle 263
10.4.2 Quantification of Systolic Dysfunction 265
10.4.3 Region of Dysfunction Identification 266
10.5 Real-Time 3-D Echocardiography 272
10.5.1 Sparse Array Transducer 273
10.5.2 Full Matrix Array 273
10.5.3 Real-Time Volume Rendered 3-D Imaging 273
References 277
Diagnosis of Heart by Phonocardiography 283
11.1 Introduction 283
11.2 Origin of Heart Sounds 284
11.2.1 Auscultatory Areas 285
11.2.2 Rate and Rhythm 286
11.2.3 Normal Heart Sounds 287
11.2.4 Abnormal Heart Sounds 288
11.2.5 Murmur Classifications 289
11.2.7 Gallop Sounds 291
11.2.8 Clicks 292
11.2.9 Opening Snaps 293
11.2.10 Maneuvers 294
11.3 Phonocardiograph 294
11.3.1 Instrument Description 296
11.3.2 Amplifier 297
11.3.3 Filter 297
11.3.4 Analysis 297
11.3.5 Segmentation of SI and S2 298
11.3.6 Decomposition of PCG 300
11.3.7 Short-Term Fourier Transform 301
11.3.8 Continuous Wavelet Transform 302
11.3.9 Wigner Distribution 303
11.3.10 The Choi-Williams Distribution 303
11.3.11 Autoregressive Modeling 305
11.3.12 Feature Extraction 306
11.3.13 Classification 307
References 309
3-D Prostate Ultrasound Imaging 311
Prostate Analysis Using Ultrasound Imaging 31 3
12.1 Level Set Method 315
12.1.1 Front Evolution 315
12.1.2 Boundary Value Formulation 316
12.1.3 Initial Value Formulation 316
x/i Contents
12.1.4 Applications of Level Set Method 317
12.2 Active Contours in Level Set Framework 318
12.2.1 Front Evolving Geometric Models of Active Contours 319
12.2.2 Geodesic Active Contour Models 319
12.2.3 Tuning Geometric Active Contour with Regularizers 319
12.2.4 Region-Based Active Contour Models 321
12.3 Fully Automated 3-D Prostate Segmentation from Transrectal
Ultrasound (TRUS) Images 325
12.3.1 3-D Shape Prior Extraction 327
12.3.2 Intensity Prior Extraction 333
12.3.3 Segmentation in Bayesian Interface 334
12.4 Evaluation of the System Performance 338
12.4.1 Transrectal Ultrasound Images 338
12.4.2 Validation Method 338
12.5 Results 339
12.6 Conclusions and Future Work 340
References 342
Application of 3-D Therapeutic and Image Guidance Ultrasound 347
HIFU Therapy Planning Using Pretreatment Imaging and Simulation 349
13.1 Introduction 349
13.2 Recent Developments in HIFU and Therapy Planning 351
13.2.1 HIFU Applications 351
13.2.2 HIFU Therapy Guidance 351
13.2.3 HIFU Transducers and Instrumentation 352
13.2.4 Theoretical and Experimental Study of the HIFU Mechanism 352
13.2.5 HIFU Dosimetry and Therapy Planning 353
13.3 Generalized Strategies for HIFU Therapy Planning 354
13.3.1 Overview of Generalized Strategy 355
13.3.2 Pretreatment Imaging 355
13.3.3 Defining the Target and Surrounding Tissues 356
13.3.4 Simulation of HIFU 357
13.3.5 Integration and Visualization 358
13.3.6 Planning of HIFU Delivery and Control 359
13.3.7 Overall Software Design and Integration of Tools 359
13.3.8 Validation and Clinical Use of the HIFU Therapy Planning
System 362
13.4 Challenges and Work Ahead 362
Acknowledgments 363
References 363
MR-Guided HIFU for Kidney and Liver Applications 367
14.1 Introduction to HIFU 367
Contents xm
14.2 Ultrasonic System and Various Measurement Systems 368
14.2.1 Attenuation Measurement 368
14.2.2 Ultrasonic System 369
14.2.3 Acoustical Monitoring of Cavitation 369
14.2.4 Software 370
14.2.5 Acoustical Field Measurement 370
14.2.6 In Vitro Experiments 371
14.2.7 In Vivo Experiments 372
14.3 Simulation Model 372
14.3.1 Estimation of Temperature 372
14.3.2 Estimation of Thermal Dose 373
14.3.3 Estimation of Lesion Size 373
14.3.4 Effect of Attenuation 373
14.4 Attenuation Measurement as a Function of Thermal Dose 374
14.4.1 Results of Attenuation Versus Thermal Dose 375
14.4.2 Simulation Results Using Variable Attenuation 376
14.5 Kidney Ablation 376
14.5.1 Results 376
14.6 Kidney Ablation Under MRI Guidance 380
14.6.1 HIFU Parameters 381
14.6.2 MRI Parameters 381
14.6.3 Results 382
14.7 Liver Ablation 386
14.7.1 HIFU Parameters 386
14.7.2 MRI Analysis 386
14.7.3 Results 387
14.8 Effect of Interfaces in HIFU Ablation 390
14.8.1 MRI Analysis 392
14.8.2 Results 392
References 396
Modalities and Devices for Thermal Ablation 401
15.1 Introduction 401
15.2 Thermal Ablation Mechanisms 402
15.2.1 Hyperthermia and Ablation 402
15.2.2 Cryoablation 403
15.2.3 Chemical Ablation 403
15.3 Therapeutic Modalities for Thermal Ablation 404
15.3.1 RF Ablation 404
15.3.2 Microwave Ablation 405
15.3.3 Laser Thermal Ablation 406
15.3.4 Focused Ultrasound-Based Ablation 407
15.4 Focal Ultrasound Surgery Robots—FUSBOTs 410
15.5 Concluding Remarks 411
References 412
xjv ^ Contents
About the Editors 415
List of Contributors 417
Index 419
|
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| indexdate | 2024-07-10T00:00:00Z |
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| isbn | 9781596931442 1596931442 |
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| spelling | Advances in diagnostic and therapeutic ultrasound imaging Jasjit S. Suri ..., ed. Boston [u.a.] Artech House 2008 XVI, 431 S. Ill., graph. Darst. 1 CD-ROM (12cm) txt rdacontent n rdamedia nc rdacarrier Bioinformatics & biomedical imaging Ultraschalldiagnostik (DE-588)4061557-1 gnd rswk-swf Ultraschalldiagnostik (DE-588)4061557-1 s DE-604 Suri, Jasjit S. 1964- (DE-588)123185270 edt HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024165822&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Advances in diagnostic and therapeutic ultrasound imaging Ultraschalldiagnostik (DE-588)4061557-1 gnd |
| subject_GND | (DE-588)4061557-1 |
| title | Advances in diagnostic and therapeutic ultrasound imaging |
| title_auth | Advances in diagnostic and therapeutic ultrasound imaging |
| title_exact_search | Advances in diagnostic and therapeutic ultrasound imaging |
| title_full | Advances in diagnostic and therapeutic ultrasound imaging Jasjit S. Suri ..., ed. |
| title_fullStr | Advances in diagnostic and therapeutic ultrasound imaging Jasjit S. Suri ..., ed. |
| title_full_unstemmed | Advances in diagnostic and therapeutic ultrasound imaging Jasjit S. Suri ..., ed. |
| title_short | Advances in diagnostic and therapeutic ultrasound imaging |
| title_sort | advances in diagnostic and therapeutic ultrasound imaging |
| topic | Ultraschalldiagnostik (DE-588)4061557-1 gnd |
| topic_facet | Ultraschalldiagnostik |
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