Mammographic Image Analysis

1. Front Matter

   Pages i-xi

   PDF

2. Introduction

   1. Front Matter

      Pages 1-1

      PDF

   2. Introduction

      • Ralph Highnam, Michael Brady

      Pages 1-27

3. Generating h int

   1. Front Matter

      Pages 29-29

      PDF

   2. A Model of Mammogram Image Formation

      • Ralph Highnam, Michael Brady

      Pages 31-55

   3. A Model of Scattered Radiation

      • Ralph Highnam, Michael Brady

      Pages 57-76

   4. A Model of Extra-Focal Radiation

      • Ralph Highnam, Michael Brady

      Pages 77-89

   5. Estimating the Thickness of a Compressed Breast

      • Ralph Highnam, Michael Brady

      Pages 91-102

   6. Model Verification and Sensitivity

      • Ralph Highnam, Michael Brady

      Pages 103-120

4. Exploiting The h int Model

   1. Front Matter

      Pages 121-121

      PDF

   2. Image Enhancement

      • Ralph Highnam, Michael Brady

      Pages 123-142

   3. Disease Simulation

      • Ralph Highnam, Michael Brady

      Pages 143-150

   4. Breast Compression

      • Ralph Highnam, Michael Brady

      Pages 151-174

   5. Removing the Anti-Scatter Grid

      • Ralph Highnam, Michael Brady

      Pages 175-190

   6. Calcifications

      • Ralph Highnam, Michael Brady

      Pages 191-223

   7. Curvilinear Structures

      • Ralph Highnam, Michael Brady

      Pages 225-250

   8. Masses

      • Ralph Highnam, Michael Brady

      Pages 251-284

5. Further Breast Image Analysis

   1. Front Matter

      Pages 285-285

      PDF

   2. Breast MRI

      • Ralph Highnam, Michael Brady

      Pages 287-331

   3. Other Modalities and Future Prospects

      • Ralph Highnam, Michael Brady

      Pages 333-356

Breast cancer is a major health problem in the Western world, where it is the most common cancer among women. Approximately 1 in 12 women will develop breast cancer during the course of their lives. Over the past twenty years there have been a series of major advances in the manage­ ment of women with breast cancer, ranging from novel chemotherapy and radiotherapy treatments to conservative surgery. The next twenty years are likely to see computerized image analysis playing an increasingly important role in patient management. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest. There are many reasons for this: highly variable and irregular shapes of the objects of interest, changing imaging conditions, and the densely textured nature of the images. Add to this the increasing need for quantitative informa­ tion, precision, and reliability (very few false positives), and the image pro­ cessing challenge becomes quite daunting, in fact it pushes image analysis techniques right to their limits.

• X-ray
• algorithms
• image analysis
• imaging
• magnetic resonance imaging (MRI)
• mammography
• radiation
• Diagnostic Radiology

• Department of Engineering Science, Oxford University, Oxford, UK

  Ralph Highnam, Michael Brady

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