Surface Extraction Methods from Medical Imaging Data -- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections -- A Topological Approach to Quantitation of Rheumatoid Arthritis -- 3D Visualization of Vasculature: An Overview -- 3D Surface Reconstruction from Endoscopic Videos -- Geometry Processing in Medical Applications -- A Framework for the Visualization of Cross Sectional Data in Biomedical Research -- Towards a Virtual Echocardiographic Tutoring System -- Supporting Depth and Motion Perception in Medical Volume Data -- Visualization of Multi-channel Medical Imaging Data -- Multimodal Image Registration for Efficient Multi-resolution Visualization -- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations -- Vector and Tensor Visualization in Medical Applications -- Global Illumination of White Matter Fibers from DT-MRI Data -- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres -- Visual Analysis of Bioelectric Fields -- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion -- Visualizing Molecular Structures -- Visual Analysis of Biomolecular Surfaces -- BioBrowser — Visualization of and Access to Macro-Molecular Structures -- Visualization of Barrier Tree Sequences Revisited -- Visualizing Gene Expression Data -- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data -- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos.

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. Further, 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 had been invited to participate in a workshop held in July 2006 on the island Rügen 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. The book will be of great interest to researchers, graduate students, and professionals dealing with visualization and its application in medicine and life sciences.