Computational Vision and Medical Image Processing - Recent Trends

Computational Vision and Medical Image Processing - Recent Trends

von: Joao Tavares, Renato Natal Jorge

Springer-Verlag, 2010

ISBN: 9789400700116 , 349 Seiten

Format: PDF, OL

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Computational Vision and Medical Image Processing - Recent Trends


 

Preface

6

Contents

8

Automatic Segmentation of the Optic Radiation Using DTI in Healthy Subjects and Patients with Glaucoma

12

1 Introduction

13

2 Interpolation in the Space of Diffusion Tensors

15

3 Initial Estimation of the Optic Radiation and the Midbrain

16

4 Segmentation Using a Statistical Level Set Framework

18

5 Results and Discussion

20

6 Conclusion and Future Work

23

References

24

Real Time Colour Based Player Tracking in Indoor Sports

27

1 Introduction

28

2 Related Work

29

3 Architecture

30

3.1 Projected Solution

31

3.2 Tested Solution

31

4 Image Processing

32

4.1 Team Definition

32

4.2 Background Subtraction

33

4.3 Colour Detection

34

4.4 Blob Aggregation and Characterization

34

4.5 Real World Transformation

36

4.6 Player Tracking

37

5 Results

38

5.1 Overview

38

5.2 Sample Footage

39

5.3 Player Detection

39

5.4 Player Tracking

41

6 Conclusions and Future Work

44

References

45

Visualization of the Dynamics of the Female Pelvic Floor Reflex and Steady State Function

46

1 Introduction

47

1.1 Clinical Problem

47

1.2 Anatomical Considerations

47

1.3 Functional Considerations

48

1.4 Contribution of Imaging

48

1.5 Diagnostic Methods

49

1.6 Evaluation of the Dynamic Function of the PF Using 2D Ultrasound Imaging

50

2 Methods

51

2.1 Coordinate System of the Anatomic Structures

51

2.2 Motion Tracking Algorithms

52

2.3 Image Segmentation Algorithms

53

3 Results

55

3.1 Quantitative Analysis of the Static Characters of the UVJ-ARA-SP Triangle

57

3.2 Automatic Detection of the UVJ-ARA-SP Triangle

59

3.3 Quantitative Analysis of the Dynamic Characters of the UVJ-ARA-SP Triangle

60

3.4 Quantitative Measurement of Dynamic Parameters of the UVJ-ARA-SP Triangle

61

3.5 The Kinematical Analysis of the Activities of the UVJ-ARA-SP Triangle

63

3.6 Motion Tracking Algorithms

65

3.7 Visualization of the Dynamic Profiles of the Urethra

65

3.8 Visualization of the Timing of the Dynamic Profiles

67

4 Bio Mechanical Properties of Pelvic Floor Function Using the Vaginal Probe

71

4.1 Temporal/Spatial Visualization

73

4.2 Resting Closure Profiles

73

5 Discussion

75

References

80

Population Exposure and Impact Assessment: Benefits of Modeling Urban Land Use in Very High Spatial and Thematic Detail

84

1 Introduction

84

2 Data and Study Area

85

2.1 Study Area

85

2.2 Remote Sensing Data and Ancillary Space-Related Information

87

3 Multi-Source Modeling of Functional Urban Patterns

87

3.1 Object Based Image Analysis and Integrated Land Cover Classification

88

3.2 Progressing from Land Cover to Land Use Assessment by Adding Ancillary Space-Related Information

88

4 Spatial Analysis of Population Distribution Patterns

90

5 Exposure and Impact Assessment

91

5.1 Population Exposure to Earthquake Hazard

92

5.2 Street Noise Propagation and Affected Population

94

6 Conclusion and Outlook

95

References

97

Dynamic Radiography Imaging as a Tool in the Design and Validation of a Novel Intelligent Amputee Socket

99

1 The Need for Novel Socket Designs in a Constantly Increasing Amputee Population

99

2 Current State-of-the-Art Socket Evaluation Methodologies Are Inefficient in Assessing Trans-Tibial (TT) Socket Problems

100

3 Integrating Dynamic Radiographic Imaging with Computer-Aided Design and Computational Modeling in Socket Evaluation

103

4 SMARTsocket: An Example of Integration of Dynamic Imaging, CAD-CAE and FE Methods in Socket Evaluation

105

5 Conclusion

116

References

116

A Discrete Level Set Approach for Texture Analysis of Microscopic Liver Images

121

1 Introduction

121

2 Mathematical Formulation

123

2.1 Discrete Level Set Theory

123

2.2 Texture Analysis of Liver Tissue

125

2.3 The Proposed Algorithm

126

3 Morphological and Texture Parameters Identification

126

4 Numerical Results

127

5 Conclusions

130

References

131

Deformable and Functional Models

132

1 Introduction

132

2 Deformable Models

133

2.1 Energy-Minimizing Snakes

133

2.2 Dynamic Snakes

135

2.3 Discretization and Numerical Simulation

136

2.4 Probabilistic (Bayesian) Interpretation

138

2.5 Higher-Dimensional Generalizations

139

2.5.1 Deformable Surfaces

139

2.6 Topology-Adaptive Deformable Models

140

2.6.1 Topology-Adaptive Snakes

140

2.6.2 Topology-Adaptive Deformable Surfaces

142

2.7 Deformable Organisms

143

3 Functional Models

145

3.1 Facial Simulation

146

3.2 Biomechanically Simulating and Controlling the Neck-Head-Face Complex

146

3.3 Comprehensive Biomechanical Simulation of the Human Body

147

4 Conclusion

148

References

149

Medical-GiD: From Medical Images to Simulations, 4D MRI Flow Analysis

151

1 Introduction

151

2 Methodology

152

2.1 Medical-GiD

152

2.2 Architecture Design

152

2.3 Magnetic Resonance

153

2.4 Segmentation and Meshing for Computational Simulations

154

3 Results

157

3.1 Aortic Blood Flow Analysis

157

3.2 Blood Flow Velocity Decoding

161

3.3 Numerical Simulation

161

4 Conclusion

163

References

165

KM and KHM Clustering Techniques for Colour Image Quantisation

167

1 Introduction

167

2 Clustering Techniques

168

2.1 KM Technique

168

2.2 KHM Technique

169

3 Tools for Evaluation of Quantisers

170

4 KM versus KHM: Comparison Tests

171

5 Choice of Initialisation Method

177

6 Empty Clusters

178

7 Conclusions

179

References

179

Caries Detection in Panoramic Dental X-ray Images

181

1 Introduction

181

1.1 Dental X-ray

181

1.2 Main Applications

182

1.3 Clinical Environments

182

1.4 Biometrics

182

1.5 Teeth Segmentation

183

1.6 Active Contours Without Edges

184

2 Main Goal/Motivation

185

3 Data-Set

186

3.1 Morphological Properties

186

4 Method

187

4.1 ROI Definition

187

4.2 Jaws Partition

188

4.3 Teeth Gap Valley Detection

189

4.4 Teeth Division

191

4.5 Tooth Segmentation

191

4.6 Dental Caries Classification

192

5 Results

193

5.1 Segmentation

193

5.2 Classification

193

6 Conclusion and Further Work

195

References

195

Noisy Medical Image Edge Detection Algorithm Based on a Morphological Gradient Using Uninorms

197

1 Introduction

197

2 Fuzzy Morphological Operators and Its Properties

199

3 The Proposed Edge Detector Algorithm

201

4 Experimental Results and Analysis

202

5 Conclusions and Future Work

210

References

212

Leveraging Graphics Hardware for an Automatic Classification of Bone Tissue

214

1 Introduction

215

2 Zernike Moments

216

2.1 Optimizations

217

2.2 Input Images

217

3 Using GPUs to Compute Zernike Moments

218

4 Performance Analysis

220

4.1 Hardware Resources

220

4.2 GPU Implementation

221

4.3 Performance Against Existing Methods

221

5 Classification of Bone Tissue Using Zernike Moments

223

5.1 The Biomedical Problem

223

5.2 A Preliminary Selection of Zernike Moments

224

5.3 Searching for the Optimal Vector of Features

225

5.3.1 Candidate Vectors

226

5.3.2 Classifiers Used

227

5.3.3 Training Samples and Input Tiles

227

5.3.4 Classification Results

228

5.3.5 The Rank of Favorite Zernike Moments

229

6 Summary and Conclusions

231

References

232

A Novel Template-Based Approach to the Segmentation of the Hippocampal Region

234

1 Introduction

235

2 The Pipeline

236

2.1 Images Dataset

236

2.2 Extraction of the Hippocampal Boxes

237

2.3 Selection of Templates

239

3 Constrained Gaussian Mixture Model Segmentation of the Brain

240

4 Hippocampal Mask Template Generation

240

4.1 STAPLE

241

4.1.1 The Algorithm

242

4.2 Our Strategy

243

4.2.1 Initialisation Strategy

243

4.2.2 Convergence Check

244

4.2.3 Model Parameters

246

5 Experimental Assessment

246

6 Conclusions

249

References

250

Model-Based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

252

1 Introduction

253

2 Related Works on Eye Segmentation

254

3 Eye Segmentation in the Active Contour Framework

256

3.1 Practical Implementation and Optimization Strategy

258

3.1.1 Eyeball Segmentation

258

3.1.2 Lens Segmentation

258

3.1.3 Optimization

259

3.2 Segmentation Results and Validation

260

4 Image Fusion

262

4.1 Landmark-Based Registration

263

4.2 Object-Based Transformation

265

5 Discussion

266

References

267

Flow of a Blood Analogue Solution Through Microfabricated Hyperbolic Contractions

269

1 Introduction

269

2 Experimental

271

2.1 Microchannel Geometry

271

2.2 Flow Visualization

272

2.3 Rheological Characterization

272

3 Results

275

3.1 Newtonian Fluid Flow Patterns

275

3.2 Viscoelastic Fluid Flow Patterns

278

4 Conclusions

281

References

283

Molecular Imaging of Hypoxia Using Genetic Biosensors

284

1 Introduction

285

1.1 Optical Methods in Molecular Imaging

285

1.2 Bioluminescence Resonant Energy Transfer (BRET)

286

1.3 Hypoxia as a Tumoral Aggresivity Marker in Cancer

286

2 Materials and Methods

287

2.1 Plasmid Construction

287

2.2 Cell Culture

288

2.3 Transfections

288

2.4 Luciferase Assay

288

2.5 Spectrophotometric Profile of the Fusion Protein

289

2.6 Confocal Microscopy

289

2.7 Fluorescence--Bioluminescence In Vivo Assays and Animal Care

289

3 Results

289

3.1 Outline of the Hypoxia Genetically Encoded Biosensor

289

3.2 Spectrophotometric Characterization of the Fusion Protein

290

3.3 In Vitro Inducible Response of the Biosensor to HIF-1

291

3.4 In Vivo Inducible Response of the Biosensor to HIF-1

292

3.5 In Vivo Bloluminiscence Resonance Energy Transfer Assessment

294

4 Discussion and Conclusions

295

References

297

Microscale Flow Dynamics of Red Blood Cells in Microchannels: An Experimental and Numerical Analysis

299

1 Introduction

300

2 Materials and Methods

300

2.1 Fabrication of the Microchannels

300

2.2 Working Fluids and Geometry of the Bifurcation

302

2.3 Confocal Micro-PTV Experimental Set-Up

303

2.4 Simulation Method

303

3 Results and Discussion

305

4 Limitations and Future Directions

309

5 Conclusions

309

References

310

Two Approaches for Automatic Nuclei Cell Counting in Low Resolution Fluorescence Images

312

1 Introduction

312

2 Related Work

314

3 The Proposed System

315

3.1 Acquisition

316

3.2 Preprocessing

316

3.3 Segmentation

318

3.3.1 Thresholding

319

3.3.2 Post Processing

319

3.4 Nuclei Counting

319

3.4.1 A First Approach, Based on Rules

320

3.4.2 The SVM Classifier Approach

321

4 Implementation and Tests

325

4.1 Implementation

325

4.2 Test Protocol

325

4.3 Results

326

5 Conclusion

326

References

326

Cerebral Aneurysms: A Patient-Specific and Image-Based Management Pipeline

328

1 Introduction

329

2 Patient-Specific and Image-Based Data Processing Pipeline

330

3 Anatomical Modeling: From Medical Images to Anatomical Models

331

4 Morphological Analysis: From Anatomical Models to Shape Descriptors

333

5 Morphodynamic Analysis: Evaluating Temporal Changes in Medical Images

333

5.1 Quantification of Volumetric Changes

334

5.2 Wall Motion Estimation

335

6 Structural Analysis: Estimating Aneurysm Wall Mechanical Properties

337

7 Computational Hemodynamic Analysis: From Anatomical Models to Personalized Flow Descriptors

338

8 Endovascular Device Modeling: From Anatomical Models to Treatment Assessment

339

8.1 Virtual Stenting

340

8.2 Virtual Coiling

341

9 Discussion

343

References

346