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Visualization in Medicine and Life Sciences Softcover reprint of hardcover 1st ed. 2008 [Pehme köide]

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  • Formaat: Paperback / softback, 346 pages, kõrgus x laius: 235x155 mm, kaal: 545 g, 35 Illustrations, color; 127 Illustrations, black and white; X, 346 p. 162 illus., 35 illus. in color., 1 Paperback / softback
  • Sari: Mathematics and Visualization
  • Ilmumisaeg: 13-Nov-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642091660
  • ISBN-13: 9783642091667
  • Pehme köide
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  • Formaat: Paperback / softback, 346 pages, kõrgus x laius: 235x155 mm, kaal: 545 g, 35 Illustrations, color; 127 Illustrations, black and white; X, 346 p. 162 illus., 35 illus. in color., 1 Paperback / softback
  • Sari: Mathematics and Visualization
  • Ilmumisaeg: 13-Nov-2010
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642091660
  • ISBN-13: 9783642091667
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.