Visualization, Visual Analytics and Virtual Reality in Medicine

State-of-the-art Techniques and Applications
Erscheinungsjahr 2023
ISBN: 978-0-12-822962-0
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 568 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 1220 g

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.

Autoren/Hrsg.

Preim, Bernhard (Professor of Visualization

Smit, Noeska

Lawonn, Kai

Smit, Noeska (senior researcher

Lawonn, Kai (Assistant for visualization

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Virtuelle Realität, Erweiterte Realität
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

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

Über Autor(innen)

Smit, Noeska
Noeska Smit was born in 1983 in Heenvliet, the Netherlands. She became a licensed radiographer in Rotterdam in 2005. Afterwards, she obtained her master's in computer science with a minor in biomedical engineering in 2012 at the Delft University of Technology. At the same institute, she defended her PhD thesis on interactive visualization for anatomy education and surgical planning in 2016.
She moved to Bergen, Norway, to join the visualization research group at the Department of Informatics as a tenure-track Associate Professor in medical visualization in 2016. Since 2019, she holds a position as a senior researcher at the Mohn Medical Imaging and Visualization (MMIV) center at the Department of Radiology of the Haukeland University Hospital in Norway. She is part of the leadership team at this interdisciplinary center.
She leads a team researching multimodal medical data visualization. In her interdisciplinary research, she works on novel interactive visualization approaches for improved exploration, analysis, and communication of multimodal medical imaging data. Her work has been awarded with a Dirk Bartz prize for Visual Computing in Medicine in 2019 and the Best Interdisciplinary Presentation Award, awarded at the Computer Graphics International conference in 2020.

Lawonn, Kai
Kai Lawonn was born in 1985 in Berlin, Germany. He received the diploma in mathematics in 2011 (minor in physics) and a Ph.D. in 2014 for a thesis on illustrative visualization on medical data sets from the Otto-von-Guericke University of Magdeburg. In 2015 he moved to Koblenz where he become a Junior professor at the University of Koblenz-Landau for Medical Visualization.
In 2019 he moved to Jena, Germany, where he is now a full professor for Visualization and Explorative Data Analysis. His work on visualization was awarded with the Best Ph.D. Award 2016 of the Eurographics Awards Programme, the EuroVis Young Researcher Award in 2020, and the Heinz Maier-Leibnitz Prize in 2021.
His research interests include vessel visualization, exploration of blood flow, illustrative visualization, and since recently visualization of machine learning techniques.