Scientific Computing and Imaging Institute: Difference between revisions

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[[File:Warnock Engineering Building, University of Utah.tif|Warnock Engineering Building, University of Utah|250px|left]] The SCI research group was founded in 1994 by Drs. '''[http://www.sci.utah.edu/people/crj.html Chris Johnson]''' and '''[http://www.sci.utah.edu/people/macleod.html Rob MacLeod]''' along with five graduate students. In 1996, wethey became the Center for Scientific Computing and Imaging and in 2000, the SCI Institute. '''[http://www.sci.utah.edu The Scientific Computing and Imaging (SCI) Institute]''' is now one of eight permanent research institutes at the [http://www.utah.edu/ University of Utah] and home to over 200 faculty, students, and staff. The 16 tenure-track faculty are drawn primarily from the School of Computing, Department of Bioengineering, Department of Mathematics, and Department of Electrical and Computer Engineering, and virtually all faculty have adjunct appointments in other, largely medical, departments. Recent growth in the SCI Institute has come in part from the award in 2007 from the state of Utah of a USTAR ([http://business.utah.gov/programs/science-advisor/wired/WIRED-Partners/ustarinitiative/ Utah Science and Technology Advanced Research]) cluster in Imaging Technology. This allowed the Institute to recruit three new faculty in image analysis: Professors [http://www.sci.utah.edu/people/gerig.html Guido Gerig], [http://www.sci.utah.edu/people/fletcher.html Tom Fletcher], [http://www.sci.utah.edu/people/tolga.html Tolga Tasdizen]. During this same time period, wethey were also able to recruit Professor [http://www.sci.utah.edu/people/pascucci.html Valerio Pascucci] in visualization. In 2011, USTAR funding allowed two more: [http://www.sci.utah.edu/people/orly.html Orly Alter] who specializes in genomic signal processing and [http://www.sci.utah.edu/people/miriah.html Miriah Meyer], who's novel biological visualization tools are revolutionizing the way scientists view and understand their data. In 2012, the SCI Institute recruited [http://www.sci.utah.edu/people/dxiu.html Dongbin Xiu] as its latest faculty member. Dongbin is one of the most recognized names and highly cited researchers in the area of uncertainty quantification, and will make a wonderful addition to the Institute.
 
Over the past decade, the SCI Institute has established itself as an internationally recognized leader in visualization, scientific computing, and image analysis applied to a broad range of application domains. The overarching research objective is to conduct application-driven research in the creation of new scientific computing techniques, tools, and systems. An important application focus of the Institute continues to be biomedicine, however, SCI Institute researchers also address challenging computational problems in a variety of application domains such as manufacturing, defense, and energy. SCI Institute research interests generally fall into the areas of: scientific visualization, scientific computing and numerics, image processing and analysis, and scientific software environments. SCI Institute researchers also apply many of the above computational techniques within their own particular scientific and engineering sub-specialties, such as fluid dynamics, biomechanics, electrophysiology, bioelectric fields, parallel computing, inverse problems, and neuroimaging.
 
A particular hallmark of SCI Institute research is the development of innovative and robust software packages, including the [http://www.sci.utah.edu/software/scirun.htmlorg SCIRun scientific problem solving environment], [http://www.sci.utah.edu/software/seg3d.htmlorg Seg3D], [http://www.sci.utah.edu/software/imagevis3d.htmlorg ImageVis3D], [http://www.scivistrails.utah.eduorg VisTrails], [https:/software/vistrailsvisus.htmlus/ VisTrailsViSUS], and [http://www.sci.utah.edu/software/map3d.html map3d]. All these packages are broadly available to the scientific community under open source licensing and supported by web pages, documentation, and users groups.
 
The SCI Institute either directs or is associated with several national research centers: the [http://www.sci.utah.edu/cibc NIH Center for Integrative Biomedical Computing (CIBC)], the [http://sdav.sci.utah.edu/ DoE Scalable Data Management, Analysis, and Visualization (SDAV)], the [http://www.na-mic.org/ NIH National Alliance for Medical Image Computing (NA-MIC)], the DoE Scientific Data Management Center, the NIH Center for Computational Biology, and the [http://csafe.sci.utah.edu/ DoE Center for the Simulation of Accidental Fires and Explosions (C-SAFE)]. In July, 2008, SCI was chosen as one of three [http://www.sci.utah.edu/nvidia-coe.html NVIDIA Centers of Excellence] in the U.S. (University of Illinois and Harvard University are the other two NVIDIA Centers).
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Besides research in the areas mentioned above, a particular focus of SCI has been to develop innovative and robust software packages, and release them as [[open source]]. Examples:
 
* [http://www.sci.utah.edu/software/scirun.htmlorg SCIRun], a Problem Solving Environment (PSE), for modeling, simulation and visualization of scientific problems.
* [http://www.sci.utah.edu/software/biomesh3d.htmlorg BioMesh3D], a tetrahedral mesh generator, that is capable of generating multi-material quality meshes out of segmented biomedical image data.
* [http://www.sci.utah.edu/software/seg3d.htmlorg Seg3D], an interactive segmentation tool.
* [http://www.sci.utah.edu/software/imagevis3d.htmlorg ImageVis3D], a lightweight, feature-rich volume rendering application.
* [https://visus.us/ Visus], Visualization Streams for Ultimate Scalability.
* [http://www.sci.utah.edu/software/shapeworks.html ShapeWorks], a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization.
* [http://www.sci.utah.edu/software/map3d.html map3d], a scientific visualization application written to display and edit complex, three-dimensional geometric models and scalar, time-based data associated with those models.
* [http://www.sci.utah.edu/software/528-uintah.html Uintah], a set of software components and libraries that facilitate the solution of partial differential equations on structured adaptive mesh refinement grids using hundreds to thousands of processors.
* [http://www.sci.utah.edu/software/fiberviewer.html FiberViewer], a comprehensive, integrated, open-source environment for medical image visualization and analysis.
* [http://www.sci.utah.edu/software/370-atlaswerks.html AtlasWerks], an open-source (BSD license) software package for medical image atlas generation.
* [http://www.sci.utah.edu/software/129ncr-ncrtoolsettoolset.html NCR Toolset], a collection of software tools for the reconstruction and visualization of neural circuitry from electron microscopy data.
* [http://www.sci.utah.edu/software/127-fluorender.html org FluoRender, an interactive rendering tool for confocal microscopy data visualization.
* [http://http://www.sci.utah.edu/software/546-elvis.html ElVis], a visualization system created for the accurate and interactive visualization of scalar fields produced by high-order spectral/hp finite element simulations.
* [http://www.sci.utah.edu/software/41-nsf/40-vistrails.html VisTrails], a scientific workflow management system.
* [http://www.sci.utah.edu/software/41-nsf/112-afront.html Afront], a tool for meshing and remeshing surfaces.
* [http://www.sci.utah.edu/software/cleaver.html Cleaver], A MultiMaterial Tetrahedral Meshing API and Application.
* [http://www.sci.utah.edu/software/epicanvas.html EpiCanvas], Infectious Disease Weather Map.
* [http://www.scifebio.utah.edu/software/40-mrl/39-febioorg FEBio], is a nonlinear finite element solver that is specifically designed for biomechanical applications.
* [http://www.scifebio.utah.eduorg/software/40-mrl/108-preview PreView], a Finite Element (FE) pre-processor that has been designed specifically to set up FE problems for FEBio
* [http://www.scifebio.utah.eduorg/software/40-mrl/109-postview PostView], a Finite Element (FE) post-processor that is designed to post-process the results from FEBio.
* [http://www.sci.utah.edu/bisti.html STCR], a matlab-based program to reconstruct undersampled DCE radial data, with Compressed Sensing methods.
* [http://www.sci.utah.edu/software/627-exoshapeaccel.html ExoshapeAccel], a C/C++ application for estimating continuous evolution from a discrete collection of shapes, designed to produce realistic anatomical trajectories.
* [http://www.sci.utah.edu/software/39-libraries/110-vispack.html VISPACK], a C++ library that includes matrix, image, and volume objects.
* [http://www.sci.utah.edu/software/39-libraries/111-teem.html Teem], a collection of libraries written by Gordon Kindlmann (in C) in support of his research.
 
== External links ==