You are previewing Visual Computing for Medicine.
O'Reilly logo
Visual Computing for Medicine

Book Description

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

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Acknowledgments
  6. Foreword to the Second Edition
  7. Preface to the Second Edition
  8. Author Biography
  9. Chapter 1. Introduction
    1. Abstract
    2. 1.1 Visualization in Medicine as a Speciality of Scientific Visualization
    3. 1.2 Computerized Medical Imaging
    4. 1.3 2D and 3D Visualizations
    5. 1.4 Further Information
    6. 1.5 Organization
  10. Part I: Acquisition, Analysis, and Interpretation of Medical Volume Data
    1. Part I. Acquisition, Analysis, and Interpretation of Medical Volume Data
    2. Chapter 2. Acquisition of Medical Image Data
      1. Abstract
      2. 2.1 Introduction
      3. 2.2 Medical Image Data
      4. 2.3 Data Artifacts and Signal Processing
      5. 2.4 X-Ray Imaging
      6. 2.5 Computed Tomography
      7. 2.6 Magnetic Resonance Imaging
      8. 2.7 Ultrasound
      9. 2.8 Imaging in Nuclear Medicine
      10. 2.9 Intraoperative Imaging
      11. 2.10 Summary
      12. Further Reading
    3. Chapter 3. An Introduction to Medical Visualization in Clinical Practice
      1. Abstract
      2. 3.1 Introduction
      3. 3.2 Diagnostic Accuracy
      4. 3.3 Visual Perception
      5. 3.4 Storage of Medical Image Data
      6. 3.5 Conventional Film-Based Diagnosis
      7. 3.6 Soft-Copy Reading
      8. 3.7 Medical Visualization in Nuclear Medicine
      9. 3.8 Medical Image Data in Radiation Treatment Planning
      10. 3.9 Medical Team Meetings
      11. 3.10 Concluding Remarks
    4. Chapter 4. Image Analysis for Medical Visualization
      1. Abstract
      2. 4.1 Introduction
      3. 4.2 Preprocessing and Filtering
      4. 4.3 An Introduction to Image Segmentation
      5. 4.4 Graph-Based Segmentation Techniques
      6. 4.5 Advanced and Model-Based Segmentation Methods
      7. 4.6 Interaction for Segmentation
      8. 4.7 Validation of Segmentation Methods
      9. 4.8 Registration and Fusion of Medical Image Data
      10. 4.9 Summary
      11. Further Reading
    5. Chapter 5. Human-Computer Interaction for Medical Visualization
      1. Abstract
      2. 5.1 Introduction
      3. 5.2 User and Task Analysis
      4. 5.3 Metaphors
      5. 5.4 Prototyping
      6. 5.5 User Interface Principles and User Experience
      7. 5.6 3D Interaction Techniques
      8. 5.7 Input Devices
      9. 5.8 HCI in the Operating Room
      10. 5.9 Mobile Computing
      11. 5.10 Evaluation
      12. 5.11 Conclusion
  11. Part II: Visualization and Exploration of Medical Volume Data
    1. Part II. Visualization and Exploration of Medical Volume Data
    2. Chapter 6. Surface Rendering
      1. Abstract
      2. 6.1 Introduction
      3. 6.2 Reconstruction of Surfaces from Contours
      4. 6.3 Marching Cubes
      5. 6.4 Surface Rendering of Unsegmented Volume Data
      6. 6.5 Surface Rendering of Segmented Volume Data
      7. 6.6 Advanced Mesh Smoothing
      8. 6.7 Mesh Simplification and Web-Based Surface Rendering
      9. 6.8 Concluding Remarks
    3. Chapter 7. Direct Volume Visualization
      1. Abstract
      2. 7.1 Theoretical Models
      3. 7.2 The Volume Rendering Pipeline
      4. 7.3 Compositing
      5. 7.4 Volume Raycasting
      6. 7.5 Efficient Volume Rendering
      7. 7.6 Direct Volume Rendering on the GPU
      8. 7.7 Summary
      9. Further Reading and Experimentation
    4. Chapter 8. Advanced Direct Volume Visualization
      1. Abstract
      2. 8.1 Introduction
      3. 8.2 Volumetric Illumination
      4. 8.3 Artificial Depth Enhancements
      5. 8.4 Concluding Remarks
      6. Further Reading
    5. Chapter 9. Volume Interaction
      1. Abstract
      2. 9.1 Introduction
      3. 9.2 One-Dimensional Transfer Functions
      4. 9.3 Multidimensional Transfer Functions
      5. 9.4 Gradient-Based and LH-Based Transfer Functions
      6. 9.5 Local and Distance-Based Transfer Functions
      7. 9.6 Advanced Picking
      8. 9.7 Clipping
      9. 9.8 Virtual Resection
      10. 9.9 Cutting Medical Volume Data
      11. 9.10 Summary
      12. Further Reading
    6. Chapter 10. Labeling and Measurements in Medical Visualization
      1. Abstract
      2. 10.1 Introduction
      3. 10.2 General Design Issues
      4. 10.3 Interactive Measurement of Distances and Volumes
      5. 10.4 Automatic Distance Measures
      6. 10.5 Angular Measurements
      7. 10.6 Measurements in Virtual Reality
      8. 10.7 Labeling 2D and 3D Medical Visualizations
      9. 10.8 Summary
      10. Further Reading
  12. Part III: Advanced Medical Visualization Techniques
    1. Part III. Advanced Medical Visualization Techniques
    2. Chapter 11. Visualization of Vascular Structures
      1. Abstract
      2. 11.1 Introduction
      3. 11.2 Enhancing Vascular Structures
      4. 11.3 Projection-Based Visualization
      5. 11.4 Vessel Analysis
      6. 11.5 Model-Based Surface Visualization
      7. 11.6 Model-Free Surface Visualization
      8. 11.7 Vessel Visualization for Diagnosis
      9. 11.8 Summary
      10. Further Reading
    3. Chapter 12. Illustrative Medical Visualization
      1. Abstract
      2. 12.1 Introduction
      3. 12.2 Medical Applications
      4. 12.3 Curvature Approximation
      5. 12.4 An Introduction to Feature Lines
      6. 12.5 Geometry-Dependent Feature Lines
      7. 12.6 Light-Dependent Feature Lines
      8. 12.7 Stippling
      9. 12.8 Hatching
      10. 12.9 Illustrative Shading
      11. 12.10 Smart Visibility
      12. 12.11 Conclusion
      13. Further Reading
    4. Chapter 13. Virtual Endoscopy
      1. Abstract
      2. 13.1 Introduction
      3. 13.2 Medical and Technical Background
      4. 13.3 Preprocessing
      5. 13.4 Rendering for Virtual Endoscopy
      6. 13.5 User Interfaces for Virtual Endoscopy
      7. 13.6 Applications
      8. 13.7 Concluding Remarks
      9. Further Reading
    5. Chapter e14. Projections and Reformations
      1. Abstract
      2. 14.1 Introduction
      3. 14.2 Overview
      4. 14.3 Anatomical Unfolding
      5. 14.4 Anatomical Planar Reformation/Projection
      6. 14.5 Map Projections
      7. 14.6 Conclusion
  13. Part IV: Visualization of High-Dimensional Medical Image Data
    1. Part IV. Visualization of High-Dimensional Medical Image Data
    2. Chapter 15. Visualization of Brain Connectivity
      1. Abstract
      2. 15.1 Introduction
      3. 15.2 Acquisition of Connectivity Data
      4. 15.3 Visualization of Structural Connectivity
      5. 15.4 Visualization of Connectivity Matrices
      6. 15.5 Summary
      7. Further Reading
    3. Chapter e16. Visual Exploration and Analysis of Perfusion Data
      1. Abstract
      2. 16.1 Introduction
      3. 16.2 Medical Imaging
      4. 16.3 Data Processing and Data Analysis
      5. 16.4 Visual Exploration of Perfusion Data
      6. 16.5 Visual Analysis of Perfusion Data
      7. 16.6 Case Study: Cerebral Perfusion
      8. 16.7 Case Study: Breast Tumor Perfusion
      9. 16.8 Case Study: Myocardial Perfusion
      10. 16.9 Further Application Areas
      11. 16.10 Concluding Remarks
      12. Further Reading
  14. Part V: Treatment Planning, Guidance and Training
    1. Part V. Treatment Planning, Guidance and Training
    2. Chapter 17. Computer-Assisted Surgery
      1. Abstract
      2. 17.1 Introduction
      3. 17.2 General Tasks
      4. 17.3 Visualization Techniques
      5. 17.4 Guidance Approaches
      6. 17.5 Application Areas
      7. 17.6 Conclusions
      8. Further Reading
    3. Chapter 18. Image-Guided Surgery and Augmented Reality
      1. Abstract
      2. 18.1 Introduction
      3. 18.2 Image-Guided Surgery
      4. 18.3 Registration
      5. 18.4 Calibration and Tracking
      6. 18.5 Navigated Control
      7. 18.6 Display Modes
      8. 18.7 Visualization Techniques for Medical Augmented Reality
      9. 18.8 Applications
      10. 18.9 Summary
      11. Further Reading
    4. Chapter 19. Visual Exploration of Simulated and Measured Flow Data
      1. Abstract
      2. 19.1 Introduction
      3. 19.2 Basic Flow Visualization Techniques
      4. 19.3 From Medical Image Data to Simulation Models
      5. 19.4 Visual Exploration of Measured Cardiac Blood Flow
      6. 19.5 Exploration of Simulated Cerebral Blood Flow
      7. 19.6 Biomedical Simulation and Modeling
      8. 19.7 Concluding Remarks
      9. Further Reading
    5. Chapter e20. Visual Computing for ENT Surgery Planning
      1. Abstract
      2. 20.1 Introduction
      3. 20.2 Planning and Training Endoscopic Sinus Surgery
      4. 20.3 Visual Computing for Inner and Middle Ear Surgery
      5. 20.4 Neck Surgery Planning
      6. 20.5 Image Analysis for Neck Surgery Planning
      7. 20.6 Interactive Visualization for Neck Surgery Planning
      8. 20.7 Concluding Remarks
      9. Further Reading
    6. Chapter e21. Computer-Assisted Medical Education
      1. Abstract
      2. 21.1 Introduction
      3. 21.2 e-Learning in Medicine
      4. 21.3 Anatomy Education
      5. 21.4 Surgery Education
      6. 21.5 Simulation for Surgery and Interventional Radiology
      7. 21.6 Simulation for Training Interventional Procedures
      8. 21.7 Systems for Training Operative Techniques
      9. 21.8 Training Systems Based on Physical Models
      10. 21.9 Skills Assessment
      11. 21.10 Summary
  15. References
  16. Index