Visualization in Medicine and Life Sciences II (eBook)

Part I Feature Extraction: Discrete Distortion for 3D Data Analysis.- Interactive Visualization – a Key Prerequisite for Reconstruction and Analysis of Anatomically Realistic Neural Networks.- MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee.- An Application for the Visualization and Quantification of HIVAssociated Lipodystrophy from Magnetic Resonance Imaging Datasets.- Part II Classification: Semi-automatic Rough Classification of Multichannel Medical Imaging Data.- An Evaluation of Peak Finding for DVR Classification of Biological Data.- Part III Volumes and Shapes: Vessel Visualization with Volume Rendering.- Efficient Selection of Representative Views and Navigation Paths for Volume Data Exploration.- Feature Preserving Smoothing of Shapes using Saliency Skeletons.- Part IV Tensor Visualization: Enhanced DTI tracking with Adaptive Tensor Interpolation.- Image-space Tensor Field Visualization Using a LIC-like Method.- Towards a High-quality Visualization of Higher-order Reynold’s Glyphs for Diffusion Tensor Imaging.- Part V Visualizing Genes, Proteins, and Molecules: VENLO - Interactive Visual Exploration of Aligned Biological Networks and Their Evolution.- Embedding Biomolecular Information in a Scene Graph System.- Linking Advanced Visualization and MATLAB for the Analysis of 3D Gene Expression Data