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Visualization, Visual Analytics and Virtual Reality in Medicine
State-of-the-art Techniques and Applications
Presents state-of-the-art techniques in visualization, virtual reality and visualization analytics for medicine and medical healthcare
Bernhard Preim (Author), Renata Raidou (Author), Noeska Smit (Author), Kai Lawonn (Author)
9780128229620, Elsevier Science
Paperback, published 18 May 2023
568 pages, 130 illustrations (100 in full color)
23.5 x 19 x 3.5 cm, 0.45 kg
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. Introduction I Medical Visualization Techniques 2. Illustrative Medical Visualization 3. Advanced Vessel Visualization 4. Multimodal Medical Visualization 5. Medical Flow Visualization 6. Medical Animations II Selected Applications 7. 3D Visualization for Anatomy Education 8. Visual Computing for Radiation Treatment Planning III Visual Analytics in Healthcare 9. An Introduction to Visual Analytics 10. Visual Analytics in Public Health 11. Visual Analytics in Clinical Medicine IV Virtual Reality in Medicine 12. Introduction to Virtual Reality 13. Virtual Reality for Medical Education 14. Virtual Reality in Treatment and Rehabilitation
Subject Areas: Computer vision [UYQV]
