A Practical Approach to Medical Image Processing

by Elizabeth Berry

Overview

In this unique reference, the author focuses exclusively on image processing and treats medical images in a generic way to highlight the features that all digital images have in common. The book first introduces the main topics in image processing and as it progresses, illustrates the uses of the ImageJ software and relevant points of good practice. The author validates each technique with a corresponding case study, which demonstrates how the concepts of image processing are applied to real-life situations, such as making measurements and 3-D visualization. The accompanying CD-ROM contains the Windows version of the ImageJ software, digital images, and documents to be used during the practical activities included in each chapter. With its highly functional workbook approach, A Practical Approach to Medical Image Processing allows you to build your skills in image manipulation and to enjoy the benefits of this valuable field without having to code or develop your own program.

Product Details

ISBN-13:	9780367452841
Publisher:	CRC Press
Publication date:	07/10/2020
Series:	Series in Medical Physics and Biomedical Engineering
Pages:	306
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Elizabeth Berry

Table of Contents

Preface xi

Acknowledgements xiii

On the CD xv

1 Image Processing Basics 1

1.1 Introduction 1

1.2 Definition of Image Processing 2

1.3 Introduction to ImageJ 10

1.4 Grayscale Image Processing Basics 13

1.5 Spatial Image Processing Basics 30

1.6 The Five Classes of Image Processing 32

1.7 Good Practice Considerations 34

1.8 Chapter Summary 35

1.9 Feedback on the Self-Assessment Questions 35

Reference 38

2 Segmentation and Classification 39

2.1 Introduction 39

2.2 Segmentation 40

2.3 Classification 49

2.4 Good Practice Considerations 57

2.5 Chapter Summary 57

2.6 Feedback on the Self-Assessment Questions 57

References 59

3 Spatial Domain Filtering 61

3.1 Introduction 61

3.2 Spatial Filtering Operations 62

3.3 Adaptive Filtering 74

3.4 Good Practice Considerations 74

3.5 Chapter Summary 75

3.6 Feedback on the Self-Assessment Questions 75

References 76

4 Frequency Domain Filtering 77

4.1 Introduction 77

4.2 The Spatial Domain and the Frequency Domain 78

4.3 Frequency Domain Filtering 80

4.4 Good Practice Considerations 95

4.5 Chapter Summary 96

4.6 Feedback on the Self-Assessment Questions 96

Reference 100

5 Image Analysis Operations 101

5.1 Introduction 101

5.2 Image Arithmetic 102

5.3 Binary Image Operations 112

5.5 Good Practice Considerations 118

5.6 Chapter Summary 118

5.7 Feedback on Self-Assessment Questions 119

6 Image Data Formats and Image Compression 121

6.1 Introduction 121

6.2 Image Data Formats 122

6.3 Image Compression 130

6.4 Good Practice Considerations 137

6.5 Chapter Summary 137

6.6 Feedback on Self-Assessment Questions 138

References 139

7 Image Restoration 141

7.1 Introduction 141

7.2 Blurring Arising from the Imaging System Itself 142

7.3 Geometrical Distortion 148

7.4 Gray-Level Inhomogeneity 151

7.5 Good Practice Considerations 156

7.6 Chapter Summary 156

7.7 Feedback on Self-Assessment Questions 156

References 159

8 Image Registration 161

8.1 Introduction 161

8.2 Image Registration 162

8.3 Dimensionality and Number of Modalities 176

8.4 Visualization of Registered Images 177

8.5 Applications 179

8.61 Good Practice Considerations 183

8.7 Chapter Summary 183

8.8 Feedback on Self-Assessment Questions 183

References 185

9 Visualization and 3-D Methods 187

9.1 Introduction 187

9.2 Taxonomy for Visualization 188

9.3 Scene-Based Visualization 188

9.4 Object-Based Visualization 200

9.5 Other Visualization Methods 201

9.6 Good Practice Considerations 202

9.7 Chapter Summary 202

9.8 Feedback on Self-Assessment Questions 204

References 206

10 Good Practice 207

10.1 Introduction 207

10.2 Scientific Rigor 207

10.3 Ethical Practice 210

10.4 Human Factors 211

10.5 Information Technology 213

10.8 Chapter Summary 223

10.9 Feedback on Self-Assessment Questions 223

References 224

11 Case Studies 225

11.1 Introduction 225

11.2 Image Enhancement 225

11.3 Segmentation 230

11.4 Image Compression 241

11.5 Image Registration 250

11.6 Visualization 256

11.7 Chapter Summary 264

References 264

12 For Instructors 267

12.1 Introduction 267

12.2 Writing Macros and Plugins for ImageJ 267

12.3 Article-Based Case Studies 269

12.4 Extensions to Material in Preceding Chapters 270

12.5 Publicly Available Data 278

12.6 Chapter Summary 278

References 279

Index 281