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Visual Computing for Medicine
Theory, Algorithms, and Applications
- 2nd Edition - November 7, 2013
- Authors: Bernhard Preim, Charl P Botha
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 4 1 5 8 7 3 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 4 1 5 9 7 9 - 2
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book incl… Read more
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Request a sales quoteVisual 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
Level: Intermediate-Advanced
- Research Physicians and Scientists in fields of Visualization and Computer-Assisted Radiology and Surgery;
- Computer Science students in Visualization and Medical imaging;
- Software and algorithm developers at medical imaging companies (such as GE, Siemens Medical Solutions, Philips Medical, Toshiba, and Tiani);
- Software developers at Visualization companies (such as IBM, Mercury, Vaytec, Kitware, and Silicon Graphics);
- Masters students (in Biomedical Engineering, Visual Computing);
- Radiologists; Surgeons.
Acknowledgments
Foreword to the Second Edition
Preface to the Second Edition
Author Biography
Chapter 1. Introduction
Abstract
1.1 Visualization in Medicine as a Speciality of Scientific Visualization
1.2 Computerized Medical Imaging
1.3 2D and 3D Visualizations
1.4 Further Information
1.5 Organization
Part I: Acquisition, Analysis, and Interpretation of Medical Volume Data
Part I. Acquisition, Analysis, and Interpretation of Medical Volume Data
Chapter 2. Acquisition of Medical Image Data
Abstract
2.1 Introduction
2.2 Medical Image Data
2.3 Data Artifacts and Signal Processing
2.4 X-Ray Imaging
2.5 Computed Tomography
2.6 Magnetic Resonance Imaging
2.7 Ultrasound
2.8 Imaging in Nuclear Medicine
2.9 Intraoperative Imaging
2.10 Summary
Further Reading
Chapter 3. An Introduction to Medical Visualization in Clinical Practice
Abstract
3.1 Introduction
3.2 Diagnostic Accuracy
3.3 Visual Perception
3.4 Storage of Medical Image Data
3.5 Conventional Film-Based Diagnosis
3.6 Soft-Copy Reading
3.7 Medical Visualization in Nuclear Medicine
3.8 Medical Image Data in Radiation Treatment Planning
3.9 Medical Team Meetings
3.10 Concluding Remarks
Chapter 4. Image Analysis for Medical Visualization
Abstract
4.1 Introduction
4.2 Preprocessing and Filtering
4.3 An Introduction to Image Segmentation
4.4 Graph-Based Segmentation Techniques
4.5 Advanced and Model-Based Segmentation Methods
4.6 Interaction for Segmentation
4.7 Validation of Segmentation Methods
4.8 Registration and Fusion of Medical Image Data
4.9 Summary
Further Reading
Chapter 5. Human-Computer Interaction for Medical Visualization
Abstract
5.1 Introduction
5.2 User and Task Analysis
5.3 Metaphors
5.4 Prototyping
5.5 User Interface Principles and User Experience
5.6 3D Interaction Techniques
5.7 Input Devices
5.8 HCI in the Operating Room
5.9 Mobile Computing
5.10 Evaluation
5.11 Conclusion
Part II: Visualization and Exploration of Medical Volume Data
Part II. Visualization and Exploration of Medical Volume Data
Chapter 6. Surface Rendering
Abstract
6.1 Introduction
6.2 Reconstruction of Surfaces from Contours
6.3 Marching Cubes
6.4 Surface Rendering of Unsegmented Volume Data
6.5 Surface Rendering of Segmented Volume Data
6.6 Advanced Mesh Smoothing
6.7 Mesh Simplification and Web-Based Surface Rendering
6.8 Concluding Remarks
Chapter 7. Direct Volume Visualization
Abstract
7.1 Theoretical Models
7.2 The Volume Rendering Pipeline
7.3 Compositing
7.4 Volume Raycasting
7.5 Efficient Volume Rendering
7.6 Direct Volume Rendering on the GPU
7.7 Summary
Further Reading and Experimentation
Chapter 8. Advanced Direct Volume Visualization
Abstract
8.1 Introduction
8.2 Volumetric Illumination
8.3 Artificial Depth Enhancements
8.4 Concluding Remarks
Further Reading
Chapter 9. Volume Interaction
Abstract
9.1 Introduction
9.2 One-Dimensional Transfer Functions
9.3 Multidimensional Transfer Functions
9.4 Gradient-Based and LH-Based Transfer Functions
9.5 Local and Distance-Based Transfer Functions
9.6 Advanced Picking
9.7 Clipping
9.8 Virtual Resection
9.9 Cutting Medical Volume Data
9.10 Summary
Further Reading
Chapter 10. Labeling and Measurements in Medical Visualization
Abstract
10.1 Introduction
10.2 General Design Issues
10.3 Interactive Measurement of Distances and Volumes
10.4 Automatic Distance Measures
10.5 Angular Measurements
10.6 Measurements in Virtual Reality
10.7 Labeling 2D and 3D Medical Visualizations
10.8 Summary
Further Reading
Part III: Advanced Medical Visualization Techniques
Part III. Advanced Medical Visualization Techniques
Chapter 11. Visualization of Vascular Structures
Abstract
11.1 Introduction
11.2 Enhancing Vascular Structures
11.3 Projection-Based Visualization
11.4 Vessel Analysis
11.5 Model-Based Surface Visualization
11.6 Model-Free Surface Visualization
11.7 Vessel Visualization for Diagnosis
11.8 Summary
Further Reading
Chapter 12. Illustrative Medical Visualization
Abstract
12.1 Introduction
12.2 Medical Applications
12.3 Curvature Approximation
12.4 An Introduction to Feature Lines
12.5 Geometry-Dependent Feature Lines
12.6 Light-Dependent Feature Lines
12.7 Stippling
12.8 Hatching
12.9 Illustrative Shading
12.10 Smart Visibility
12.11 Conclusion
Further Reading
Chapter 13. Virtual Endoscopy
Abstract
13.1 Introduction
13.2 Medical and Technical Background
13.3 Preprocessing
13.4 Rendering for Virtual Endoscopy
13.5 User Interfaces for Virtual Endoscopy
13.6 Applications
13.7 Concluding Remarks
Further Reading
Chapter e14. Projections and Reformations
Abstract
14.1 Introduction
14.2 Overview
14.3 Anatomical Unfolding
14.4 Anatomical Planar Reformation/Projection
14.5 Map Projections
14.6 Conclusion
Part IV: Visualization of High-Dimensional Medical Image Data
Part IV. Visualization of High-Dimensional Medical Image Data
Chapter 15. Visualization of Brain Connectivity
Abstract
15.1 Introduction
15.2 Acquisition of Connectivity Data
15.3 Visualization of Structural Connectivity
15.4 Visualization of Connectivity Matrices
15.5 Summary
Further Reading
Chapter e16. Visual Exploration and Analysis of Perfusion Data
Abstract
16.1 Introduction
16.2 Medical Imaging
16.3 Data Processing and Data Analysis
16.4 Visual Exploration of Perfusion Data
16.5 Visual Analysis of Perfusion Data
16.6 Case Study: Cerebral Perfusion
16.7 Case Study: Breast Tumor Perfusion
16.8 Case Study: Myocardial Perfusion
16.9 Further Application Areas
16.10 Concluding Remarks
Further Reading
Part V: Treatment Planning, Guidance and Training
Part V. Treatment Planning, Guidance and Training
Chapter 17. Computer-Assisted Surgery
Abstract
17.1 Introduction
17.2 General Tasks
17.3 Visualization Techniques
17.4 Guidance Approaches
17.5 Application Areas
17.6 Conclusions
Further Reading
Chapter 18. Image-Guided Surgery and Augmented Reality
Abstract
18.1 Introduction
18.2 Image-Guided Surgery
18.3 Registration
18.4 Calibration and Tracking
18.5 Navigated Control
18.6 Display Modes
18.7 Visualization Techniques for Medical Augmented Reality
18.8 Applications
18.9 Summary
Further Reading
Chapter 19. Visual Exploration of Simulated and Measured Flow Data
Abstract
19.1 Introduction
19.2 Basic Flow Visualization Techniques
19.3 From Medical Image Data to Simulation Models
19.4 Visual Exploration of Measured Cardiac Blood Flow
19.5 Exploration of Simulated Cerebral Blood Flow
19.6 Biomedical Simulation and Modeling
19.7 Concluding Remarks
Further Reading
Chapter e20. Visual Computing for ENT Surgery Planning
Abstract
20.1 Introduction
20.2 Planning and Training Endoscopic Sinus Surgery
20.3 Visual Computing for Inner and Middle Ear Surgery
20.4 Neck Surgery Planning
20.5 Image Analysis for Neck Surgery Planning
20.6 Interactive Visualization for Neck Surgery Planning
20.7 Concluding Remarks
Further Reading
Chapter e21. Computer-Assisted Medical Education
Abstract
21.1 Introduction
21.2 e-Learning in Medicine
21.3 Anatomy Education
21.4 Surgery Education
21.5 Simulation for Surgery and Interventional Radiology
21.6 Simulation for Training Interventional Procedures
21.7 Systems for Training Operative Techniques
21.8 Training Systems Based on Physical Models
21.9 Skills Assessment
21.10 Summary
References
Index
- No. of pages: 836
- Language: English
- Edition: 2
- Published: November 7, 2013
- Imprint: Morgan Kaufmann
- Hardback ISBN: 9780124158733
- eBook ISBN: 9780124159792
BP
Bernhard Preim
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).
Affiliations and expertise
Professor of Visualization, Computer Science Department, Otto-von-Guericke-University of Magdeburg, GermanyCB
Charl P Botha
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.
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