Multiparameter Acoustic Imaging in the Born Approximation.
Technical summary rept.,
UTAH UNIV SALT LAKE CITY DEPT OF MATHEMATICS
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Computer-based acoustic imaging techniques have been studied intensively during the last decade. Typical techniques involve irradiating a sample with prescribed sound fields, measuring the resulting scattered fields and applying a computational algorithm to the scattering data to produce maps of such sample parameters as density, sound speeds and perhaps others. These techniques have important applications to medical ultrasonic imaging where the sample is a living organism, to non-destructive evaluation where the sample is a manufactured item such as a metal casting or ceramic object and to geophysical prospecting where the sample is a portion of the earths crust. This paper treats a problem of medical ultrasonic imaging. The sample is modelled as an inhomogeneous fluid which is characterized by a variable density rhox and sound speed cx. The use of a fluid model is motivated by the fact that in biological tissues, other than bone, acoustic shear waves are not observed. In acoustic imaging, the scale of the smallest structures that can be resolved is of the order of the smallest wavelength employed. A typical sound speed in biological tissue is c 1500 msec.
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- Computer Programming and Software