Medical Image Analysis

Medical Image Analysis

Frangi, Alejandro F.
Prince, Jerry L.
Sonka, Milan

104,00 €(IVA inc.)

Medical imaging is increasingly at the base of many fundamental breakthroughs in biomedical sciences, becoming a fundamental enabling technology of biomedical scientific progress. This book presents practical knowledge on medical image computing and analysis Written by top educators and experts in the field, this text is a modern, practical, broad, and self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains, reflecting the nature of the discipline today. Learn: The core representations and properties of digital images and image enhancement techniquesAdvanced image computing methods including segmentation, registration, motion and shape analysis, and machine learningHow medical image computing (MIC) is used in clinical and medical researchHow to identify alternative strategies and employ software tools to solve typical problems in MIC An authoritative description of key concepts and methodsTutorial-based sections that clearly explain the principles and their application to different medical domainsSelf-contained chapters provide flexibility, allowing the text to be used on courses with different structuresA representative selection of topics to match a modern and relevant approach to medical image computingFocus on medical image computing as a technology to meet clinical needs INDICE: Introduction 1. Historical perspective on Medical Image Analysis 2. Brief Introduction to Medical Imaging Modalities 3. Mathematical Preliminaries and Notation Image Representation 4. Image Representation and Filtering 5. Multi-scale Image Representation 6. Multi-resolution Image Representation 7. Multi-dimensional Image Representation Feature Detection, Analysis and Tracking 8. Feature Detection and Texture Analysis 9. Tracking of Salient Points Image Segmentation 10. Clustering-based Segmentation 11. Statistical Model-based Segmentation 12. Implicit Model-based Segmentation 13. Segmentation of Tree-like Structures Image Registration 14. Points and Surface Registration 15. Graph Matching 16. Volumetric Rigid Registration 17. Volumetric Non-Rigid Registration 18. Image Mosaicking Motion, Deformation and Growth Analysis 19. Motion Recovery and Analysis 20. Deformation Recovery and Analysis 21. Development, degeneration, and growth analysis Medical Image Analysis in Large Scale Databases 22. Detection and counting in large databases 23. Segmentation and classification 24. Population atlases and variability Design and Validation of Medical Image Analysis Methods 25. Designing Translational Solutions in Medical Image Analysis 26. Assessment of Medical Image Computing Methods

  • ISBN: 978-0-12-813657-7
  • Editorial: Academic Press
  • Encuadernacion: Rústica
  • Páginas: 935
  • Fecha Publicación: 01/03/2020
  • Nº Volúmenes: 1
  • Idioma: Inglés