1. Seismic wave simulation based on a fast Helmholtz solver - wave field.
CNA Research
Applications
Electromagnetic Scattering
Seismic Imaging
Oil Reservoir Modeling
Source Detection for Homeland Security
Wave Propagation in Random Media
Algorithms & Modeling
Fast Algorithms for Wave Propagation
Multiscale and Multiphysics Methods
Discontinuous Galerkin Techniques
Inverse Problems
Multiscale FEMs
Funding: NSF, Army
Affiliated Faculty
Todd Arbogast
George Biros
Sergey Fomel
Irene Gamba
Oscal Gonzalez
Kui Ren
Richard Tsai
Bjorn Engquist
Director
Research Staff: Jay Chu, Britney Froese
Brief description of some of the research activities in PADAS:
Fast algorithms for robust (i.e., automatic, black box) analysis for medical images.
Typically, problem-specific algorithms
Top left image: MRI FLAIR Image of patient with Grade IV glioma.
Top right image: Estimated segmentatio to Grey matter, white matter, cerebrospinal fluid, and tumor
Bottom image:
Spatial frequency of adult glioblastoma with 3D surface rendering (top) and 2D multiplanar slices (bottom). These tumors tend to appear much more frequently in some brain regions, and this depends on age. The Statistical atlas was constructed with registration algorithms.
Seismic wave simulation based on a fast Helmholtz solver - wave field.

2. Breakthrough in High-Resolution Seismic Imaging and Wave Modeling - CNA
Overthrust Model:
Domain is 20[km] x 20[km] x 4.65[km], with low velocity and faults near the surface and high velocity near the bottom. Grid is 801 x 801 x 187.
Computational Cost: 24 minutes with 45 iterations (4 digits of accuracy)
Approximately 2000 processors
Lexing Ying, Bjorn Engquist, Sergey Fomel, Jack Poulson, and Paul Tsuji