High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural network

• Published in: PloS one Vol. 16; no. 5; p. e0251417
• Main Authors: Lee, Mun Bae, Jahng, Geon-Ho, Kim, Hyung Joong, Kwon, Oh-In
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.05.2021; Public Library of Science (PLoS)
• Subjects: Accuracy; Algebra; Analysis; Biology and Life Sciences; Brain; Cerebrospinal fluid; Computer and Information Sciences; Convection; Convection-diffusion equation; Datasets; Deep learning; Electrical conductivity; Electrical properties; Electrical resistivity; Electrical stimuli; Evaluation; Magnetic properties; Magnetic resonance; Magnetic resonance imaging; Medical imaging; Medicine and Health Sciences; Methods; Multilayer perceptrons; Neural networks; Neuroimaging; Noise; Noise levels; Noise propagation; Partial differential equations; Perceptrons; Physical Sciences; Research and Analysis Methods; Scanners; Signal to noise ratio; Tissues; South Korea

Magnetic resonance electrical properties tomography (MREPT) aims to visualize the internal high-frequency conductivity distribution at Larmor frequency using the B1 transceive phase data. From the magnetic field perturbation by the electrical field associated with the radiofrequency (RF) magnetic fi...