2016 Image-Based Biomedical Modeling (IBBM) summer course
The Image-Based Biomedical Modeling (IBBM) summer course was held for the third time in 2016, from July 11-21, 2016 in Newpark Resort, Park City (Utah). The two-week course format included the following activities:- Didactic lecture sessions given by the three PIs (Rob MacLeod, Ross Whitaker and Jeff Weiss) as well as three invited instructors (Miriah Meyer, Steve Maas and Gerard Ateshian) experts in their fields
- Laboratory exercises lead by a group of teaching assistants and developers,
- Discussion session time for student-instructor interaction,
- Visit to the experimental and computational laboratory facilities at the University of Utah, College of Engineering to give the participants an overview of the general academic background and research projects performed at the university,
- Four Keynotes Lectures from leaders in the field,
- Mentoring lectures on grant writing, responsible conduct of research, and simulation study design.
Combating Wear and Tear
University of Utah bioengineers detect early signs of damage in connective tissues such as ligaments, tendons and cartilage
By the time someone realizes they damaged a ligament, tendon or cartilage from too much exercise or other types of physical activity, it's too late. The tissue is stretched and torn and the person is writhing in pain.But a team of researchers led by University of Utah bioengineering professors Jeffrey Weiss and Michael Yu has discovered that damage to collagen, the main building block of all human tissue, can occur much earlier at a molecular level from too much physical stress, alerting doctors and scientists that a patient is on the path to major tissue damage and pain.
Early Science Projects for Aurora Supercomputer Announced
Congratulations to Martin Berzins and the Carbon-Capture Multidisciplinary Simulation Center on their selection as one of ten computational science and engineering research projects for its Aurora Early Science Program starting this month. Aurora, a massively parallel, manycore Intel-Cray supercomputer, will be ALCF's next leadership-class computing resource and is expected to arrive in 2018.
Laura Lediaev wins the Utah Rendering Competition for the 3rd straight year
Congratulations to Laura Lediaev, who won the Utah Rendering Competition for the third year in a row. Laura's entry, titled Christmas Teapots, was the overall winner and receiver of the audience choice award. The rendering is based on creating time-varying composites of light layers in order to simulate the effect of twinkling Christmas lights and flickering candles. The scene has 30 lights, one inside each teapot. Light layers are created during rendering by saving the contribution of each light into its own image. This produced 30 images/layers. Each light produced 4,000 samples per pixel. That adds up to 120,000 samples per pixel after compositing. Laura allowed up to 10 diffuse light bounces and 200 specular bounces.For more information on the project, visit http://www.omnigraphica.com/classes/cs6620/contest2016.html
Visualizing the Universe
Utah engineers co-developing space simulation software for planetariums and home computers.
Sept. 7, 2016 – If space is the final frontier, OpenSpace could become the final frontier in space simulation software.Computer scientists from the University of Utah will be working with researchers from New York University's Tandon School of Engineering and the American Museum of Natural History (AMNH) to develop OpenSpace, an open-source 3-D software for visualizing NASA astrophysics, heliophysics, planetary science and Earth science missions for planetariums and other immersive environments. The software also will be developed for use in schools and on home computers.
Introduction to Image-Based Modeling
 |
 |
 |
 |
 |
 |
Bei Wang Joins the Scientific Computing and Imaging Institute as an Assistant Professor of Computer Science
Bei Wang has joined the University of Utah's Scientific Computing and Imaging (SCI) Institute as an Assistant Professor of Computer Science. The SCI Institute focuses on solving important problems in biomedicine, science, and engineering using computation and is an international research leader in the areas of scientific computing, visualization, and image analysis.Dr. Wang received her Ph.D. in Computer Science from Duke University in 2010. There, she also earned a certificate in Computational Biology and Bioinformatics. She was a postdoctoral fellow from 2010 to 2011, and a research scientist from 2011 to 2016, both at the SCI Institute, University of Utah.
Science-ArtQuiz
The SCI Institute recently contributed to the Science-ArtQuiz with the Leonardo. Can you distinguish Science from Art???Paintbrush or microscope? Einstein or Picasso? Is there any difference? Challenge your inner genius with this unique, mind bending science vs art quiz. Can you get a perfect score?
Take the quiz at http://www.theleonardo.org/science-artquiz/
SCI Research Highlighted in Argonne's 10 Year Celebration
Modeling detonations to transport explosives safelyResearchers modeled a 2005 explosion that left a 30-by-70-foot crater in a Utah highway, capturing the physics that made the truck's cargo explode more violently than it should have. With such simulations, we can design safer transport for explosives. Led by Martin Berzins, University of Utah
You can see the 10 highlights at https://www.alcf.anl.gov/articles/10-science-highlights-celebrating-10-years-argonne-leadership-computing-facility
Image Analysis Tools for Understanding Connective Tissue Structure
Sponsored by the Burton Foundation
This summer, two Salt Lake area high school students from Copper Hills High School came to the University of Utah to participate in a hands-on research experience. The students learned how image analysis tools help biomechanics researchers understand the effects of structural features of musculoskeletal tissues (e.g. tendons, ligaments, and articular cartilage) on the functional behavior of these tissues.Many musculoskeletal tissue injuries and diseases exhibit altered macroscopic and microscopic tissue structure. The Musculoskeletal Research Laboratories, a research center of the Scientific Computing and Imaging Institute, uses engineered tissue materials to study the effect of these structural changes on tissue behavior. Researchers use many image acquisition techniques to characterize the structure of native and engineered tissues, including optical microscopy, x-ray computed tomography (CT), and electron microscopy. Image analysis tools allow efficient detection and quantification of structural features from these images.