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.


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); Masters students (in Biomedical Engineering, Visual Computing)

Table of Contents


Foreword to the Second Edition

Preface to the Second Edition

Author Biography

Chapter 1. Introduction


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


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


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


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 Visu


No. of pages:
© 2014
Morgan Kaufmann
Electronic ISBN:
Print ISBN:

About the author


" 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 17,2014