Buch, Englisch, 346 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 699 g
Buch, Englisch, 346 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 699 g
Reihe: Mathematics and Visualization
ISBN: 978-3-540-72629-6
Verlag: Springer Berlin Heidelberg
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. The interaction between visualization and medicine is one of the fastest expanding fields, both scientifically and commercially. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Computeralgebra
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik EDV | Informatik Informatik
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
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.
