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Proceedings Paper

Ultrasound Textural Synthesis Using 2-D Autoregressive Models For Pathology Characterization
Author(s): A. M. Youssef; D. Schlaps; W. J. Lorenz
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Paper Abstract

An autoregressive model is generated for a two dimensional pulsed ultrasound data. The autoregressive parameters are used to differentiate between various liver textures,potential for pathology characterization is discussed. The same model could be used to seperate regions of normal and diseased tissues,subtracting original image out of the developed texture. The theory of 2-D autoregression is developed as well as discussing the overall applicability and drawbacks of the technique.

Paper Details

Date Published: 10 September 1987
PDF: 6 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940268
Show Author Affiliations
A. M. Youssef, German Cancer Research Center (FRG)
D. Schlaps, German Cancer Research Center (FRG)
W. J. Lorenz, German Cancer Research Center (FRG)


Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

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