Ultrasound Textural Synthesis Using 2-D Autoregressive Models For Pathology Characterization

A. M. Youssef; D. Schlaps; W. J. Lorenz

doi:10.1117/12.940268

10 September 1987 Ultrasound Textural Synthesis Using 2-D Autoregressive Models For Pathology Characterization

A. M. Youssef, D. Schlaps, W. J. Lorenz

Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940268
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States

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.

Citation Download Citation

A. M. Youssef, D. Schlaps, and W. J. Lorenz "Ultrasound Textural Synthesis Using 2-D Autoregressive Models For Pathology Characterization", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); https://doi.org/10.1117/12.940268

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