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Dataset Information

Robust Scatterer Number Density Segmentation of Ultrasound Images.


ABSTRACT: Quantitative ultrasound (QUS) aims to reveal information about the tissue microstructure using backscattered echo signals from clinical scanners. Among different QUS parameters, scatterer number density is an important property that can affect the estimation of other QUS parameters. Scatterer number density can be classified into high or low scatterer densities. If there are more than ten scatterers inside the resolution cell, the envelope data are considered as fully developed speckle (FDS) and, otherwise, as underdeveloped speckle (UDS). In conventional methods, the envelope data are divided into small overlapping windows (a strategy here we refer to as patching), and statistical parameters, such as SNR and skewness, are employed to classify each patch of envelope data. However, these pa

SUBMITTER: Tehrani AKZ 

PROVIDER: S-EPMC11500800 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature