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SCIRun/BioPSE Power Apps SCIRun/BioPSE 1.22 with Power Apps Available Now!(Power Apps are encapsulated within SCIRun/BioPSE) The SCI Institute is proud to announce the release of SCIRun/BioPSE V1.22. This release includes a number of major new features including two new encapsulated applications: BioTensor and BioFEM. BioTensor is designed for the processing and visualization of diffusion tensor MRI data. BioFEM is a volume conductor application for modeling, simulating and visualizing bioelectric fields. These "Standalone Applications" are built on top of the powerful SCIRun Dataflow environment but hide much of the complexity, allowing the users to focus on their science. Among the many improvements in version 1.22 are the inclusion of the Insight Toolkit and enhancements to the network editor including network annotation, module blocking and hierarchical embedded sub-networks. BioTensor
Diffusion weighted imaging uses the diffusion of water molecules to probe the directional micro-structure of living tissue. A single diffusion weighted image generally measures diffusivity of water molecules along a particular direction. The amount of diffusion along a direction is detected by destructive interference of different phase signatures created by the magnetic gradient. A large set of DWIs along carefully chosen gradient directions permits estimation of a diffusion tensor that models the relationship between direction and diffusivity. The BioTensor application provides the means of going from DWIs to "diffusion tensor images" (DTIs), which are actually three-dimensional fields of tensor values. An important application of diffusion tensor imaging is determining the connective structure of central nervous tissue, made possible by the directionally constrained diffusion of water within or between the myelinated axon sheaths of white matter. The extent to which diffusion is faster along some directions than others is termed anisotropy; white matter within the brain is more anisotropic than gray matter on its cortical surface. The visualization capabilities in BioTensor allow the user to:
BioFEM
BioFEM requires these inputs:
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