Издательство Morgan Kaufmann, 2007, -663 pp.
Visualization in Medicine is an excellent textbook for students, researchers, and practitioners in the field of medical visualization. The field of medical visualization has rapidly evolved in recent years and currently comprises a large and quite heterogeneous body of advanced research work.
This book is conceed with diagnosis, treatment, and therapy planning with a focus on tomographic slice data such as Computed Tomography and Magnetic Resonance Imaging. In detail it covers the elaborate pipeline: from data acquisition, analysis, and interpretation, to advanced volume visualization and exploration techniques. Selected image analysis techniques, which are often used in combination with visualization techniques, are concisely treated. Important application areas and advanced visualization techniques for vascular structures, virtual endoscopy, and liver surgery planning are extensively dealt with.
The acceptance of medical visualization techniques by medical doctors critically depends on issues like performance, robustness, and accuracy. In this respect the book does a very good job in discussing the validation and clinical evaluation of medical-visualization methods. Medical visualization is a highly interdisciplinary research area involving specialists from quite different professional backgrounds. The book will definitely help to bridge the gap between technical individuals who develop visualization methods and the medical doctors who are supposed to apply these methods in their clinical routine.
As the area of medical visualization has blossomed and matured over recent years, a comprehensive overview, as provided by this book, has been urgently needed. The book will be a prime source for students taking courses on medical imaging and visualization, and will be a solid basis for researchers interested in medical visualization. Furthermore, for physicians with research interests in computer-assisted radiology and surgery, the book gives a thorough overview on the state of the art.
The book is well structured. The 21 chapters are classified into five focal themes. Each chapter starts with outlining content to come and concludes with references to further readings. The well-conceived hierarchical composition allows for non-sequential reading and quick focus on specific sub-topics of interest.
The authors have accomplished the laudable feat of nicely structuring a quite diverse research field and delivering a comprehensive piece of work that makes an interesting read for experts from varying areas of expertise. The book will be an authoritative guide to medical visualization for years to come.
Introduction
Part I Acqusition, Analysis, and Interpretation
Medical Image Data and Visual Perception
Acquisition of Medical Image Data
Medical Volume Data in Clinical Practice
Image Analysis for Medical Visualization
Part II Volume Visualization
Fundamentals of Volume Visualization
Indirect Volume Visualization
Direct Volume Visualization
Algorithms for Direct Volume Visualization
Exploration of Dynamic Medical Volume Data
Part III Exploration of Medical Volume Data
Transfer Function Specification
Clipping, Cutting, and Virtual Resection
Measurements in Medical Visualization
Part IV Advanced Visualization Techniques
Visualization of Anatomic Tree Structures
Virtual Endoscopy
Image-Guided Surgery and Virtual Reality
Emphasis Techniques and Illustrative Rendering
Exploration of MRI Diffusion Tensor Images
Part V Application Areas and Case Studies
Image Analysis and Visualization for Liver Surgery Planning
Visualization for Medical Education
Outlook
Visualization in Medicine is an excellent textbook for students, researchers, and practitioners in the field of medical visualization. The field of medical visualization has rapidly evolved in recent years and currently comprises a large and quite heterogeneous body of advanced research work.
This book is conceed with diagnosis, treatment, and therapy planning with a focus on tomographic slice data such as Computed Tomography and Magnetic Resonance Imaging. In detail it covers the elaborate pipeline: from data acquisition, analysis, and interpretation, to advanced volume visualization and exploration techniques. Selected image analysis techniques, which are often used in combination with visualization techniques, are concisely treated. Important application areas and advanced visualization techniques for vascular structures, virtual endoscopy, and liver surgery planning are extensively dealt with.
The acceptance of medical visualization techniques by medical doctors critically depends on issues like performance, robustness, and accuracy. In this respect the book does a very good job in discussing the validation and clinical evaluation of medical-visualization methods. Medical visualization is a highly interdisciplinary research area involving specialists from quite different professional backgrounds. The book will definitely help to bridge the gap between technical individuals who develop visualization methods and the medical doctors who are supposed to apply these methods in their clinical routine.
As the area of medical visualization has blossomed and matured over recent years, a comprehensive overview, as provided by this book, has been urgently needed. The book will be a prime source for students taking courses on medical imaging and visualization, and will be a solid basis for researchers interested in medical visualization. Furthermore, for physicians with research interests in computer-assisted radiology and surgery, the book gives a thorough overview on the state of the art.
The book is well structured. The 21 chapters are classified into five focal themes. Each chapter starts with outlining content to come and concludes with references to further readings. The well-conceived hierarchical composition allows for non-sequential reading and quick focus on specific sub-topics of interest.
The authors have accomplished the laudable feat of nicely structuring a quite diverse research field and delivering a comprehensive piece of work that makes an interesting read for experts from varying areas of expertise. The book will be an authoritative guide to medical visualization for years to come.
Introduction
Part I Acqusition, Analysis, and Interpretation
Medical Image Data and Visual Perception
Acquisition of Medical Image Data
Medical Volume Data in Clinical Practice
Image Analysis for Medical Visualization
Part II Volume Visualization
Fundamentals of Volume Visualization
Indirect Volume Visualization
Direct Volume Visualization
Algorithms for Direct Volume Visualization
Exploration of Dynamic Medical Volume Data
Part III Exploration of Medical Volume Data
Transfer Function Specification
Clipping, Cutting, and Virtual Resection
Measurements in Medical Visualization
Part IV Advanced Visualization Techniques
Visualization of Anatomic Tree Structures
Virtual Endoscopy
Image-Guided Surgery and Virtual Reality
Emphasis Techniques and Illustrative Rendering
Exploration of MRI Diffusion Tensor Images
Part V Application Areas and Case Studies
Image Analysis and Visualization for Liver Surgery Planning
Visualization for Medical Education
Outlook