Mammographic image analysis / by Ralph Highnam and Michael Brady.

Format:

Book

Author/Creator:

Highnam, Ralph.

Contributor:

Brady, Michael (J. Michael)

Rosengarten Family Fund.

Series:

Computational imaging and vision ; v. 14.

Computational imaging and vision ; v. 14

Language:

English

Subjects (All):

Breast--Radiography.

Breast.

Breast--Cancer--Diagnosis.

Image analysis.

Mammography--methods.

Image Enhancement.

Radiographic Image Interpretation, Computer-Assisted.

Medical Subjects:

Mammography--methods.

Image Enhancement.

Radiographic Image Interpretation, Computer-Assisted.

Physical Description:

xi, 379 pages : illustrations ; 25 cm.

Place of Publication:

Dordrecht ; Boston : Kluwer Academic Publishers, [1999]

Contents:

1.2 Breast cancer screening 3

1.3 Basic breast anatomy, physiology and pathology 7

1.4 The image processing challenge 16

1.5 Snapshot description of the contents 22

Part I Generating h[subscript int]

2 A Model of Mammogram Image Formation 31

2.2 Mammographic imaging process model 31

2.3 Summary and Results: Computing h[subscript int] 50

3 A Model of Scattered Radiation 57

3.2 Anti-scatter grid 58

3.3 Defining the "scatter volume" when the grid is not used 62

3.4 Defining the scatter volume when a grid is used 65

3.5 Estimate "scatter function" 68

3.6 Implementation 70

3.7 Summary and Results: Computing scatter 74

4 A Model of Extra-Focal Radiation 77

4.2 The work of Lam and Chan 79

4.3 A model of extra-focal radiation 81

4.4 A model of the breast edge 81

4.5 Estimating the extra-focal constant 81

4.6 Summary and Results: Computing extra-focal 86

5 Estimating the Thickness of a Compressed Breast 91

5.2 What is the breast edge? 92

5.3 Using the h[subscript int] representation to locate the breast edge 94

5.4 An appropriate roughness measure 96

5.5 An initial estimate of breast thickness 99

5.6 Summary and Results: Estimating H 99

6 Model Verification and Sensitivity 103

6.2 Practical verification of modelling 103

6.3 Theoretical sensitivity analysis 107

6.4 Summary: Sensitivity 119

Part II Exploiting The h[subscript int] Model

7 Image Enhancement 123

7.2 Simulating light-box appearance 125

7.3 Simulating different exposures 129

7.4 Correcting for unsharpness 134

7.5 Simulating a scatter-free examination 135

7.6 Simulating a different x-ray source 136

7.7 Summary: Image enhancement 140

8 Disease Simulation 143

8.2 Cysts 144

8.3 Malignant masses 144

8.4 Curvilinear structures 148

8.5 Calcifications 148

8.6 Summary: Disease simulation 150

9 Breast Compression 151

9.2 Literature survey 152

9.3 Differential compression mammography 153

9.4 Breast compression and image analysis 163

9.5 Matching between views 169

9.6 Summary: Breast compression 174

10 Removing the Anti-scatter Grid 175

10.2 Theoretical analysis 175

10.3 "Soft" removal of scattered radiation 183

10.4 Summary: Removing the anti-scatter grid 184

11 Calcifications 191

11.2 Microcalcifications 193

11.3 Radiological assessment of microcalcifications 195

11.4 Computer-aided detection and classification of microcalcifications 198

11.5 Image filtering 206

11.6 Karssemeijer's adaptive noise estimation process 208

11.7 Blur in mammography 212

11.8 Detecting film-screen "shot" noise 213

11.9 Improving detection schemes 216

11.10 Estimating thickness of calcifications 217

11.11 Image analysis 220

11.12 A novel detection scheme 220

11.13 Summary: Calcifications 222

12 Curvilinear Structures 225

12.2 The CLS detector algorithm 229

12.3 Modelling the expected CLS profile 234

12.4 From continuous to discrete 240

12.5 CLS modelling conclusions 242

12.6 Results 242

12.7 Removing the CLS 246

12.8 Summary: Curvilinear structures 250

13 Masses 251

13.2 Preliminary considerations 253

13.3 A representation of salient bright regions 255

13.4 The transformation between a temporal pair 259

13.5 Constraint-based region matching 265

13.6 Matching bilateral pairs 271

13.7 Locating abnormal regions 276

13.8 Summary: Masses 284

Part III Further Breast Image Analysis

14 Breast MRI 287

14.2 Image processing systems for breast MR 295

14.3 Breast Segmentation 299

14.4 Pharmacokinetic model for breast MR image analysis 301

14.5 Image registration 312

14.6 Motion from enhancement curve model errors 324

14.7 Clinical trial 329

14.8 Summary: Breast MRI 330

15 Other Modalities and Future Prospects 333

15.2 Digital mammography 334

15.3 Image guided, minimally invasive breast surgery 338

15.4 Nuclear medicine 341

15.5 Ultrasound 346

15.6 Decision aids 352

A Receiver operating characteristic (ROC) curves 357.

Notes:

Includes bibliographical references (pages 361-374) and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.

ISBN:

0792356209

OCLC:

40698408