Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.

ABSTRACT: Intensity variations in image texture can provide powerful quantitative information about physical properties of biological tissue. However, tissue patterns can vary according to the utilized imaging system and are intrinsically correlated to the scale of analysis. In the case of ultrasound, the Nakagami distribution is a general model of the ultrasonic backscattering envelope under various scattering conditions and densities where it can be employed for characterizing image texture, but the subtle intra-heterogeneities within a given mass are difficult to capture via this model as it works at a single spatial scale. This paper proposes a locally adaptive 3D multi-resolution Nakagami-based fractal feature descriptor that extends Nakagami-based texture analysis to accommodate subtle speckle

SUBMITTER: Al-Kadi OS 

PROVIDER: S-EPMC4339203 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature