Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general.
Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Illustrative medical visualization - p. 7 3. Chapter 3 Advanced vessel visualization - p. 27 4. Chapter 4 Multimodal medical visualization - p. 59 5. Chapter 5 Medical flow visualization - p. 81 6. Chapter 6 Medical animations - p. 117 7. Chapter 7 3D visualization for anatomy education - p. 159 8. Chapter 8 Visual computing for radiation treatment planning - p. 199 9. Chapter 9 An introduction to visual analytics - p. 225 10. Chapter 10 Visual analytics in public health - p. 273 11. Chapter 11 Visual analytics in clinical medicine - p. 325 12. Chapter 12 Introduction to Virtual Reality - p. 355 13. Chapter 13 Virtual Reality for medical education - p. 403 14. Chapter 14 Virtual Reality in treatment and rehabilitation - p. 449 15. References - p. 477 16. Index - p. 539 17. Index - Continued - p. 552
Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities. The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation. This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general.
Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation. Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Illustrative medical visualization - p. 7 3. Chapter 3 Advanced vessel visualization - p. 27 4. Chapter 4 Multimodal medical visualization - p. 59 5. Chapter 5 Medical flow visualization - p. 81 6. Chapter 6 Medical animations - p. 117 7. Chapter 7 3D visualization for anatomy education - p. 159 8. Chapter 8 Visual computing for radiation treatment planning - p. 199 9. Chapter 9 An introduction to visual analytics - p. 225 10. Chapter 10 Visual analytics in public health - p. 273 11. Chapter 11 Visual analytics in clinical medicine - p. 325 12. Chapter 12 Introduction to Virtual Reality - p. 355 13. Chapter 13 Virtual Reality for medical education - p. 403 14. Chapter 14 Virtual Reality in treatment and rehabilitation - p. 449 15. References - p. 477 16. Index - p. 539 17. Index - Continued - p. 552
