The Simian Project
SCIRun/BioPSE: Problem Solving Environments for the Next Generation of Scientific Computing
"I am excited about the SCIRun and BioPSE software releases," says the Institute's director Christopher R. Johnson. "We have been working on SCIRun since 1992. What started out as software designed by a few people (Steve Parker with help from David Weinstein) has grown into a substantial software effort with more than 50 contributors." Johnson continues, "BioPSE has been a focused software effort since 1999. I am thrilled to see SCIRun and BioPSE released and look forward to seeing how scientists and engineers use these software packages to solve their application domain problems."
The Science and Application of Complex Meshes
Part 1. Unstructured Meshes in Entertainment and Engineering
Tomb Raider |
If you have played just about any modern Nintendo(tm) or Playstation (tm) computer game, then you have encountered meshes. Many games make heavy use of what are called polygonal surface meshes, or surfaces built up out of polygons. They are used in the models of many of the people and cars and other 3D things within the game. Polygonal models are a good way for the game designers to get what they want out of the hardware inside the computer or whatever you are using to play the game. I'll explain what a mesh actually is, how it is constructed, and how engineers use meshes to solve problems.
The Mathematics Behind Imaging
An interesting, but very challenging kind of imaging is to visualize the interior of a non-transparent object (such as a human body) using physical fields measured outside the body. This imaging is achieved through a mathematical engine known as "inverse problems solving" or "statistical optimization", one of the key research directions at the SCI Institute.
Another research direction being pursued at the SCI Institute is solving "ill-posed" imaging problems by constraining the solution with focusing criterion. This allows us to reconstruct sharp solutions out of smooth data. The process is made possible by selecting special stabilizing functions that permit sharp solutions. Applications of this technique range from bioelectric source localization utilizing magneto and electro -encephalography data for medical imaging, to geophysical inversions with gravity and magnetic fields.
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New Methods for Revealing Brain Structure
By Gordon Kindlmann.
The technology of Magnetic Resonance Imaging (MRI) has been used in an ever-increasing variety of applications in the area of medical imaging. This is partly because of MRI's basic ability to non-invasively and non-destructively take images of living tissue, and also because of the inherent flexibility in the way that MRI machines are programmed in order to acquire images. One relatively new method of using MRI technology is called "diffusion tensor imaging". By measuring the directions along which water molecules diffuse through brain tissue, this technology allows us to explore the structure of the brain in new ways which benefit many disciplines. For example, it can help doctors to better detect abnormalities in brain tissue, cognitive scientists to better understand the interconnections between the functional units of the brain, and show biologists how brain tissue becomes organized in a growing fetus.SCI Undergrads Present Before State Legislature
“This is a great opportunity for both students and University alike,” says Ronald J.Pugmire. Associate Vice President for Research. “Not only are we given the opportunity to show off our undergraduate programs, but the students are given both the chance to represent their research to their elected officials as well as an early glimpse into the collaboration of education and government.”
SCI Institute Appeals to Local Business Leadership for Increases In State Funding
He described the history of biomedical devices from EEG to MRI. The talk also included the story of a real patient treated in part with technology developed here at the SCI Institute. Dr. Johnson described the case of Sarah, a child diagnosed with a tumor near the top of her spinal column. In such cases, doctors are only able to see sets of two-dimensional slices generated from an MRI. The physician must then reconstruct a three-dimensional image from those slices. Using technology developed at the SCI Institute, the team of physicians was not only able to see the tumor in full three-dimensions, but they were also able to use stereo glasses to “virtually” maneuver inside of the MRI. The combination of these technologies gave the surgeons a much clearer visualization and persuaded them to alter how they were going to operate.
SCI Institute Hosts Governor to Launch Ambitious Engineering Educational Initiative
SCI Institute Director Gives Plenary Talk on Visualization at Supercomputing 2001
Supercomputing 2001 Plenaries