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

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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.© (1987) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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