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Scientific Computing and Imaging Institute

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Coordinates: 40°46′3.72″N 111°50′42.00″W / 40.7677000°N 111.8450000°W / 40.7677000; -111.8450000
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Scientific Computing and Imaging Institute
Established1994
Research typeComputer science and translational research
Field of research
Scientific visualization, High performance computing, Image analysis
Director Chris Johnson
LocationSalt Lake City, Utah
AffiliationsUniversity of Utah School of Computing
University of Utah School of Medicine
University of Utah College of Engineering
Operating agency
University of Utah
Websitewww.sci.utah.edu

The Scientific Computing and Imaging (SCI) Institute is one of eight permanent research institutes at the University of Utah. Faculty are associated primarily with the School of Computing, Department of Bioengineering, Department of Mathematics, and Department of Electrical and Computer Engineering. Research focuses include the development of new scientific computing techniques, tools, and systems with applications to various fields, including high performance computing, scientific visualization, image analysis, computational biology, data science, and graphics.[1]

History

The Scientific Computing and Imaging Institute began as a research group started in 1992 by Dr. Chris Johnson and Dr. Rob MacLeod. In 1994 this group became the Center for Scientific Computing and Imaging, and in 2000 the name was changed to the Scientific Computing and Imaging (SCI) Institute. In 2007, the SCI Institute was awarded funding from USTAR to recruit more faculty in medical imaging technology. In 2008, the SCI Institute was chosen as one of three NVIDIA Centers of Excellence in the U.S. (University of Illinois and Harvard University are the other two NVIDIA Centers). In 2011, USTAR funding allowed faculty recruitment for genomic signal processing and information visualization.

Research

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. Given the proximity and availability of research conducted at the University of Utah School of Medicine, an important application focus is medicine. SCI Institute researchers also apply computational techniques to particular scientific and engineering sub-specialties, such as fluid dynamics, biomechanics, electrophysiology, bioelectric fields, uncertainty visualization, parallel computing, inverse problems, and neuroimaging.

The SCI Institute is known for its development of innovative and robust software packages, including the SCIRun scientific problem solving environment, Seg3D, ImageVis3D, VisTrails, ViSUS, and map3d. All these packages are broadly available to the scientific community under open source licensing and supported by web pages, documentation, and users groups.

Open source software releases

A CT scan of a human torso rendered with ImageVis3D

The SCI Institute releases open source software packages for many of the projects developed by researchers for use by the scientific visualization and medical imaging communities. All projects are released under the MIT software license. Notable projects released by SCI include:

Notable researchers

  1. ^ "Scientific Computing and Imaging Institute – Home". Retrieved 2013-04-16.

40°46′3.72″N 111°50′42.00″W / 40.7677000°N 111.8450000°W / 40.7677000; -111.8450000

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