Ebook: Visualization in Medicine and Life Sciences
- Tags: Visualization, Computer Graphics, Computer Appl. in Life Sciences, Mathematical Modeling and Industrial Mathematics, Image Processing and Computer Vision, Computational Science and Engineering
- Series: Mathematics and Visualization
- Year: 2008
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG).
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. This technology complements traditional image processing methods as it allows scientists to visually interact with large, high-resolution three-dimensional image data, for example. Furthermore, an ever increasing number of new data acquisition methods are being used in medicine and the life sciences, in particular in genomics and proteomics. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
Experts from all over the world were invited to participate in a workshop held in July 2006 on the island R?gen in Germany. About 40 participants presented state-of-the-art research on the topic. Research and survey papers have been solicited and carefully refereed, resulting in this collection.
The topics covered include Segmentation and Feature Detection, Surface Extraction, Volume Visualization, Graph and Network Visualization, Visual Data Exploration, Multivariate and Multidimensional Data Visualization, Large Data Visualization.
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. This technology complements traditional image processing methods as it allows scientists to visually interact with large, high-resolution three-dimensional image data, for example. Furthermore, an ever increasing number of new data acquisition methods are being used in medicine and the life sciences, in particular in genomics and proteomics. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
Experts from all over the world were invited to participate in a workshop held in July 2006 on the island R?gen in Germany. About 40 participants presented state-of-the-art research on the topic. Research and survey papers have been solicited and carefully refereed, resulting in this collection.
The topics covered include Segmentation and Feature Detection, Surface Extraction, Volume Visualization, Graph and Network Visualization, Visual Data Exploration, Multivariate and Multidimensional Data Visualization, Large Data Visualization.
Content:
Front Matter....Pages I-IX
Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections....Pages 3-25
A Topological Approach to Quantitation of Rheumatoid Arthritis....Pages 27-37
3D Visualization of Vasculature: An Overview....Pages 39-59
3D Surface Reconstruction from Endoscopic Videos....Pages 61-74
A Framework for the Visualization of Cross Sectional Data in Biomedical Research....Pages 77-97
Towards a Virtual Echocardiographic Tutoring System....Pages 99-119
Supporting Depth and Motion Perception in Medical Volume Data....Pages 121-133
Multimodal Image Registration for Efficient Multi-resolution Visualization....Pages 137-151
A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations....Pages 153-170
Global Illumination of White Matter Fibers from DT-MRI Data....Pages 173-184
Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres....Pages 185-204
Visual Analysis of Bioelectric Fields....Pages 205-220
MRI-based Visualisation of Orbital Fat Deformation During Eye Motion....Pages 221-233
Visual Analysis of Biomolecular Surfaces....Pages 237-255
BioBrowser — Visualization of and Access to Macro-Molecular Structures....Pages 257-273
Visualization of Barrier Tree Sequences Revisited....Pages 275-290
Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data....Pages 293-311
Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos....Pages 313-327
Back Matter....Pages 329-345
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. This technology complements traditional image processing methods as it allows scientists to visually interact with large, high-resolution three-dimensional image data, for example. Furthermore, an ever increasing number of new data acquisition methods are being used in medicine and the life sciences, in particular in genomics and proteomics. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
Experts from all over the world were invited to participate in a workshop held in July 2006 on the island R?gen in Germany. About 40 participants presented state-of-the-art research on the topic. Research and survey papers have been solicited and carefully refereed, resulting in this collection.
The topics covered include Segmentation and Feature Detection, Surface Extraction, Volume Visualization, Graph and Network Visualization, Visual Data Exploration, Multivariate and Multidimensional Data Visualization, Large Data Visualization.
Content:
Front Matter....Pages I-IX
Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections....Pages 3-25
A Topological Approach to Quantitation of Rheumatoid Arthritis....Pages 27-37
3D Visualization of Vasculature: An Overview....Pages 39-59
3D Surface Reconstruction from Endoscopic Videos....Pages 61-74
A Framework for the Visualization of Cross Sectional Data in Biomedical Research....Pages 77-97
Towards a Virtual Echocardiographic Tutoring System....Pages 99-119
Supporting Depth and Motion Perception in Medical Volume Data....Pages 121-133
Multimodal Image Registration for Efficient Multi-resolution Visualization....Pages 137-151
A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations....Pages 153-170
Global Illumination of White Matter Fibers from DT-MRI Data....Pages 173-184
Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres....Pages 185-204
Visual Analysis of Bioelectric Fields....Pages 205-220
MRI-based Visualisation of Orbital Fat Deformation During Eye Motion....Pages 221-233
Visual Analysis of Biomolecular Surfaces....Pages 237-255
BioBrowser — Visualization of and Access to Macro-Molecular Structures....Pages 257-273
Visualization of Barrier Tree Sequences Revisited....Pages 275-290
Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data....Pages 293-311
Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos....Pages 313-327
Back Matter....Pages 329-345
....