Dedication

pp v-vi

Contents

pp vii-xvi

Preface

pp xvii-xix

Nomenclature

pp xx-xxii

1 - Overview of biomedical image analysis

pp 1-6

Part I - Signals and systems, image formation, and image modality

pp 7-8

2 - Overview of two-dimensional signals and systems

pp 9-38

3 - Biomedical imaging modalities

pp 39-76

Part II - Stochastic models

pp 77-78

4 - Random variables

pp 79-106

5 - Random processes

pp 107-130

6 - Basics of random fields

pp 131-162

7 - Probability density estimation by linear models

pp 163-180

Part III - Computational geometry

pp 181-182

8 - Basics of topology and computational geometry

pp 183-212

9 - Geometric features extraction

pp 213-272

Part IV - Variational approaches and level sets

pp 273-274

10 - Variational approaches and level sets

pp 275-294

Part V - Image analysis tools

pp 295-296

11 - Segmentation: statistical approach

pp 297-315

12 - Segmentation: variational approach

pp 316-344

13 - Basics of registration

pp 345-386

14 - Variational methods for shape registration

pp 387-416

15 - Statistical models of shape and appearance

pp 417-457

Index

pp 458-464