10 September 1987 Ultrasound Textural Synthesis Using 2-D Autoregressive Models For Pathology Characterization
Author Affiliations +
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. M. Youssef, A. M. Youssef, D. Schlaps, D. Schlaps, W. J. Lorenz, 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); doi: 10.1117/12.940268; https://doi.org/10.1117/12.940268
PROCEEDINGS
6 PAGES


SHARE
Back to Top