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Research Abstracts Online
January 2010 - March 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Civil Engineering

PI: Bojan Guzina, Associate Fellow

Fast Solutions for the Elastic-Wave Imaging of Solid Bodies and Soft Tissues

The aim of this research project is the development of an advanced analytical and computational framework for the rapid, three-dimensional imaging of subterranean obstacles using elastic (i.e., seismic) waves. The proposed methodology is focused on resolving the location, topology, geometry and material characteristics of subsurface obstacles from non-invasive waveform measurements performed on the material surface. Making use of current computational power, research is conducted to develop an efficient technique for solving the featured inverse scattering problem that would account for the full three-dimensional nature of the induced wave propagation in a systematic and rigorous manner. A comprehensive three-dimensional identification of subsurface obstacles by means of these methods may find use in defense applications, oil prospecting, construction in urban areas, and medical diagnosis. Specific techniques used involve: boundary-only reconstruction; the linear sampling method; and the concept of topological sensitivity. The proposed methodologies have recently found applications in medical imaging based on Magnetic Resonance (MR) and Vibro-Acoustography techniques. The concept of topological sensitivity has been generalized and adapted to interpret MR and VA data for lesion detection and characterization.

Group Members

Marcin Bialas, Research Associate
Yuejian Cao, Graduate Student
Sylvain Nintcheu, Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
Huina Yuan, Graduate Student