Visualization in Medicine and Life Sciences II

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>- 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

Hans Hagen is heading the research group for Computer Graphics and Computer Geometry at the University of Kaiserslautern, Germany, and is Scientific Director of the research lab Intelligent Visualization and Simulation at the German Research Center for Artificial Intelligence (DFKI). His research domains are geometric modeling and scientific visualization.

From the reviews:"The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. ... The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. ... It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences." (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)

From the reviews:"The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. ... The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. ... It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences." (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)