Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter…mehr
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons. * A core field of visualization and graphics missing a dedicated book until now * Written by pioneers in the field and illustrated in full color * Covers theory as well as practiceHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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 (www.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).
Inhaltsangabe
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
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
Rezensionen
" I highly recommend it for one-semester advanced graduate courses in computer graphics. For graduate students pursuing PhDs and professionals in research and development in the medical visualization filed, this book is well worth reading." --Computing Reviews, November 2014
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