Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field.

• Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field
• Illustrated in full color
• Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more

Bernhard Preim was born in 1969 in Magdeburg, Germany. He received the diploma in computer science in 1994 (minor in mathematics) and a Ph.D. in 1998 for a thesis on interactive visualization for anatomy education from the Otto-von-Guericke University of Magdeburg. In 1999 he moved to Bremen where he joined the staff of MEVIS and directed the "computer-aided planning in liver surgery group.Since Mars 2003 he is full professor for Visualization at the computer science department at the Otto-von-Guericke-University of Magdeburg, heading a research group focussed on medical visualization.His research interests include vessel visualization, exploration of blood flow, visual analytics in public health, virtual reality in medical education and since recently narrative visualization. He authored "Visualization in Medicine (Co-author Dirk Bartz, 2007) and "Visual Computing in Medicine (Co-author: C. Botha, 2013).Bernhard Preim founded the working group Medical Visualization in the German Society for Computer Science and served as speaker from 2003-2012. He was president of the German Society for Computer- and Robot-Assisted Surgery (curac.org). He was Co-Chair and Co-Organizer of the first and second Eurographics Workshop on Visual Computing in Biology and Medicine (VCBM) in 2008 and 2010 and lead the steering committee of that workshop until 2019.He is the chair of the scientific advisory board of ICCAS (International Competence Center on Computer-Assisted Surgery Leipzig, since 2010). From 2011-2018 he was an associate editor of IEEE Transactions on Medical Imaging and and IEEE Transactions on Visualization and Graphics (2017-2022). Currently he serves in the editorial board of Computers & Graphics (since 2019). He was also regularly a Visiting Professor at the University of Bremen where he closely collaborates with Fraunhofer MEVIS (2003-2012) and was Visiting Professor at TU Vienna (2016).Charl Botha is Professor of Visualisation at the Delft University of Technology (TU Delft) in the Netherlands, where he directs the medical visualisation lab. His research focuses on surgical planning and guidance, and visual analysis for medical research. He has published on, amongst other topics, virtual colonoscopy, shoulder replacement, diffusion tensor imaging and the visual analysis of human motion. Together with Bernhard Preim he initiated the Eurographics Workshop series on Visual Computing for Biology and Medicine, acted as co-chair in 2008 and 2010, and is currently serving as editor together with Prof. Preim of the Computers and Graphics special issue on VCBM.Prior to his Ph.D. he worked in industry designing embedded image processing systems and algorithms for two different companies.

1. Introduction
Part I: Acquisition, Analysis, and Interpretation of Medical Volume Data2. Acquisition of Medical Image Data3. An Introduction to Medical Visualization in Clinical Practice4. Image Analysis for Medical Visualization5. Human-Computer Interaction for Medical Visualization
Part II: Visualization and Exploration of Medical Volume Data6. Surface Rendering7. Direct Volume Visualization8. Advanced Direct Volume Visualization 9. Volume Interaction10. Labeling and Measurements in Medical Visualization
Part III: Advanced Medical Visualization Techniques11. Visualization of Vascular Structures12. Illustrative Medical Visualization13. Virtual Endoscopy14. Projections and Reformations ONLINE
Part IV: Visualization of High-Dimensional Medical Image DataVisualization of Brain Connectivity15. Visual Exploration and Analysis of Perfusion Data - ONLINE
Part V: Treatment planning, guidance and trainingComputer-Assisted Surgery16. Image-Guided Surgery and Augmented Reality17. Visual Exploration of Simulated and Measured Flow Data18. Visual Computing for ENT Surgery Planning - ONLINE19. Computer-Assisted Medical Education - ONLINE20. Outlook - ONLINE