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Proceedings Paper

Comparison of spectral estimation methods in reconstruction of parametric ultrasound images
Author(s): Pawan Chaturvedi; Michael F. Insana; Timothy J. Hall
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Paper Abstract

The application of inverse scattering methods to diagnostic ultrasound echo signals has provided us with detailed information about renal microstructure and function. In particular, the average scatterer size has been used to follow changes in microvascular perfusion that occur early in many renal disease processes. This paper shows that by introducing prior knowledge of the tissue state into the process, uncertainty in the spectral estimate is reduced for low SNR situations, and the contrast and range-resolution in scatterer size images can be improved without increasing the noise. Prior information used in the estimation technique is obtained from the histology of biological tissue. Maximum a posteriori and constrained least squares estimators are designed to obtain images for different levels of noise and for different gate-durations. Prior knowledge about the noise properties and the nature of the echo spectrum is used to obtain the order of an autoregressive model for estimating the power spectral density.

Paper Details

Date Published: 16 April 1996
PDF: 11 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237966
Show Author Affiliations
Pawan Chaturvedi, Univ. of Kansas Medical Ctr. (United States)
Michael F. Insana, Univ. of Kansas Medical Ctr. (United States)
Timothy J. Hall, Univ. of Kansas Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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