Medical Image Analysis

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.- An authoritative presentation of key concepts and methods from experts in the field- Sections clearly explaining key methodological principles within relevant medical applications- Self-contained chapters enable the text to be used on courses with differing structures- A representative selection of modern topics and techniques in medical image computing- Focus on medical image computing as an enabling technology to tackle unmet clinical needs- Presentation of traditional and machine learning approaches to medical image computing

PART I Introductory topics1. Medical imaging modalities2. Mathematical preliminaries3. Regression and classification4. Estimation and inferencePART II Image representation and processing5. Image representation and 2D signal processing6. Image filtering: enhancement and restoration7. Multiscale and multiresolution analysisPART III Medical image segmentation8. Statistical shape models9. Segmentation by deformable models10. Graph cut-based segmentationPART IV Medical image registration11. Points and surface registration12. Graph matching and registration13. Parametric volumetric registration14. Non-parametric volumetric registration15. Image mosaickingPART V Machine learning in medical image analysis16. Deep learning fundamentals17. Deep learning for vision and representation learning18. Deep learning medical image segmentation19. Machine learning in image registrationPART VI Advanced topics in medical image analysis20. Motion and deformation recovery and analysis21. Imaging GeneticsPART VII Large-scale databases22. Detection and quantitative enumeration of objects from large images23. Image retrieval in big image dataPART VIII Evaluation in medical image analysis24. Assessment of image computing methods