Automated Generation of Reliable Blood Velocity Parameter Maps from Contrast-Enhanced Ultrasound Data.

ABSTRACT:

Objectives

The purpose of this study was the automated generation and validation of parametric blood flow velocity maps, based on contrast-enhanced ultrasound (CEUS) scans.

Materials and methods

Ethical approval for animal experiments was obtained. CEUS destruction-replenishment sequences were recorded in phantoms and three different tumor xenograft mouse models. Systematic pixel binning and intensity averaging was performed to generate parameter maps of blood flow velocities with different pixel resolution. The 95% confidence interval of the mean velocity, calculated on the basis of the whole tumor segmentation, served as ground truth for the different parameter maps.

Results

In flow phantoms the measured mean velocity values were only weakly influenced by the pixel

SUBMITTER: Theek B 

PROVIDER: S-EPMC5612675 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature