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.

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