SEGMENTATION AND ANALYSIS OF DIGITAL CORONARY ANGIOGRAMS BY USE OF FRACTIONAL BROWNIAN MOTION.
Date of Original Version
A discrete fractional Brownian motion (FBM) model is applied to X-ray images as a measure of the regional texture. FBM is a generalization of ordinary Wiener-Levy Brownian motion. A parameter, H, is introduced which describes the roughness of the realizations. A maximum likelihood estimator (MLE) is derived for H and applied to the data sets. The MLE is then applied to sequences of digital coronary angiograms. In this way the 256 multiplied by 256 images are broken into regions of 8 multiplied by 8 pixels each. The images were then segmented into two regions, corresponding to H less than 0. 5 and H greater than 0. 5. Arterial vessel structure is associated with the larger values of H. The results suggest that the H parameter may be a useful index by which to segment vessels and myocardial blush from background noise.
Computers in Cardiology
Ohley, W. J., T. Lundahl, H. White, D. O. Williams, and A. S. Most. "SEGMENTATION AND ANALYSIS OF DIGITAL CORONARY ANGIOGRAMS BY USE OF FRACTIONAL BROWNIAN MOTION.." Computers in Cardiology , (1987): 647-650. https://digitalcommons.uri.edu/ele_facpubs/910