Noncontrast MRI in assessing venous reflux of legs using QFlow analysis and radial basis function neural network technique.

ABSTRACT: Since venous reflux is difficult to quantify, triggered angiography non-contrast-enhanced (TRANCE)-magnetic resonance imaging (MRI) is a novel tool for objectively evaluating venous diseases in the lower extremities without using contrast media. This study included 26 pre-intervention patients with superficial venous reflux in the lower extremities and 15 healthy volunteers. The quantitative flow (QFlow) analyzed the phase shift information from the pixels within the region of interest from MRI. The fast and simple radial basis function neural network (RBFNN) learning model is constructed by determining the parameters of the radial basis function and the weights of the neural network. The input parameters were the variables generated through QFlow, while the output variables were morbid li

SUBMITTER: Wong MY 

PROVIDER: S-EPMC9958037 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature