A multi-model framework to estimate perfusion parameters using contrast-enhanced ultrasound imaging.

ABSTRACT:

Purpose

Contrast-enhanced ultrasound imaging has expanded the diagnostic potential of ultrasound by enabling real-time imaging and quantification of tissue perfusion. Several perfusion models and curve fitting methods have been developed to quantify the temporal behavior of tracer signal and standardize perfusion quantification. While the least-squares approach has traditionally been applied for curve fitting, it can be inadequate for noisy and complex data. Moreover, previous research suggests that certain perfusion models may be more relevant depending on the organ or tissue imaged. We propose a multi-model framework to select the most appropriate perfusion model and curve fitting method for each diagnostic application.

Methods

Our multi-model approach uses a system identi

SUBMITTER: Akhbardeh A 

PROVIDER: S-EPMC6615468 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature