Visualization in Medicine and Life Sciences

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Linsen, Lars (Επιμελητής έκδοσης), Hagen, Hans (Επιμελητής έκδοσης), Hamann, Bernd (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Mathematics and Visualization,
• Θέματα: Medicine.; Pathology.; Computer graphics.; Bioinformatics.; Computational biology.; Mathematics.; Visualization.; Mathematical models.; Medicine & Public Health.; Medicine/Public Health, general.; Computer Graphics.; Computer Appl. in Life Sciences.; Mathematical Modeling and Industrial Mathematics.

 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). 

 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.