Edited by Hansen, C.D., Chen, M., Johnson, C.R., Kaufman, A.E., Hagen, H.
Based on a seminar that took place in Dagstuhl, Germany, this contributed volume studies four important topics within scientific visualization: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization.
- Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation,
- Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets,
- Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications,
- Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms.
The publication and cover image is the result of a close collaboration between the University of Freiburg (Lukas Fiederer, Tonio Ball and others) in Germany and the NIH-funded Center for Integrated Biomedical Computing (CIBC, Moritz Dannhauer) at the SCI institute (Johannes Vorwerk). The cover of NeuroImage' March (128) issue illustrates different tissues in a model of the human head that are known to have distinct electrical properties. In this study, we simulated the electrical effect of blood vessels on current flow originating from active brain regions as monitored by scalp electrodes (encephalography, EEG). Since the understanding of EEG measurements matters in many clinical applications (e.g., epilepsy), SCIRun software offers a set of tools to investigate their underlying electrical generators. Recently, in the new version 5.0 of SCIRun additional capabilities (BrainStimulator) have been added to simulate the current flow from external stimulation devices targeting brain regions of potential EEG generators.
Congratulations to Suyash Awate, Peihong Zhu and Ross Whitaker whose paper has been awarded "Best Paper" at the MICCAI workshop on Multimodal Brain Image Analysis. Winning papers are chosen by the organisers based on relevance, novelty and scientific contribution. 
Congratulations to Jonathan Bronson, Joshua Levine, and Ross Whitaker whose paper received the Best Paper Award at the 19th International Meshing Roundtable in Chattanooga Tennessee this October.