Scientific Computing and Imaging Institute

Scientific Computing and Imaging Institute (SCI) is a research institute at the University of Utah specializing in the development of advanced computational algorithms and software tools for the analysis and visualization of scientific data. The institute is renowned for its contributions to the fields of computational science, visualization, image analysis, and scientific computing. Its research impacts a wide range of scientific and engineering disciplines, including biology, medicine, engineering, and geosciences.

History

The Scientific Computing and Imaging Institute was established in 1994, evolving from the earlier Graphics and Visualization Center at the University of Utah. Since its inception, SCI has been at the forefront of the development of innovative computational techniques and software. The institute's founders, including notable figures in the field of computational science and visualization, aimed to create a collaborative environment that fosters interdisciplinary research and education.

Research Areas

SCI's research encompasses several key areas:

• Computational Science: Developing mathematical models, computational algorithms, and software tools for solving complex scientific and engineering problems.
• Visualization: Creating techniques and software for the visual representation of scientific data to aid in analysis and understanding.
• Image Analysis: Developing algorithms for processing, analyzing, and interpreting images from various sources, including medical imaging devices.
• Scientific Computing: Focusing on the design and implementation of high-performance computing solutions to tackle large-scale scientific problems.

Education and Outreach

The institute is also committed to education and outreach, offering training and resources to students, researchers, and professionals in the field of scientific computing. This includes hosting workshops, seminars, and conferences, as well as providing educational materials and software tools developed at the institute.

Notable Projects and Software

SCI has been involved in the development of several influential projects and software tools, including:

• Seg3D: A volume segmentation and processing tool designed for the visualization and analysis of 3D images.
• VisIt: An open-source, interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms.
• SCIRun: A problem-solving environment for modeling, simulation, and visualization of scientific problems.

Collaborations

The institute collaborates with various academic, government, and industry partners to advance research in scientific computing and imaging. These collaborations help to translate SCI's research into practical applications that benefit society.

See Also

• Computational science
• Visualization (graphics)
• Image analysis
• University of Utah

Scientific Computing and Imaging Institute Resources
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