Cargando…

Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction

Magnetic resonance imaging (MRI) and continuous electroencephalogram (EEG) monitoring are essential in the clinical management of neonatal seizures. EEG electrodes, however, can significantly degrade the image quality of both MRI and CT due to substantial metallic artifacts and distortions. Thus, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeong, Hongbae, Ntolkeras, Georgios, Warbrick, Tracy, Jaschke, Manfred, Gupta, Rajiv, Lev, Michael H., Peters, Jurriaan M., Grant, Patricia Ellen, Bonmassar, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098641/
https://www.ncbi.nlm.nih.gov/pubmed/37050693
http://dx.doi.org/10.3390/s23073633
_version_ 1785024858687537152
author Jeong, Hongbae
Ntolkeras, Georgios
Warbrick, Tracy
Jaschke, Manfred
Gupta, Rajiv
Lev, Michael H.
Peters, Jurriaan M.
Grant, Patricia Ellen
Bonmassar, Giorgio
author_facet Jeong, Hongbae
Ntolkeras, Georgios
Warbrick, Tracy
Jaschke, Manfred
Gupta, Rajiv
Lev, Michael H.
Peters, Jurriaan M.
Grant, Patricia Ellen
Bonmassar, Giorgio
author_sort Jeong, Hongbae
collection PubMed
description Magnetic resonance imaging (MRI) and continuous electroencephalogram (EEG) monitoring are essential in the clinical management of neonatal seizures. EEG electrodes, however, can significantly degrade the image quality of both MRI and CT due to substantial metallic artifacts and distortions. Thus, we developed a novel thin film trace EEG net (“NeoNet”) for improved MRI and CT image quality without compromising the EEG signal quality. The aluminum thin film traces were fabricated with an ultra-high-aspect ratio (up to 17,000:1, with dimensions 30 nm × 50.8 cm × 100 µm), resulting in a low density for reducing CT artifacts and a low conductivity for reducing MRI artifacts. We also used numerical simulation to investigate the effects of EEG nets on the B(1) transmit field distortion in 3 T MRI. Specifically, the simulations predicted a 65% and 138% B(1) transmit field distortion higher for the commercially available copper-based EEG net (“CuNet”, with and without current limiting resistors, respectively) than with NeoNet. Additionally, two board-certified neuroradiologists, blinded to the presence or absence of NeoNet, compared the image quality of MRI images obtained in an adult and two children with and without the NeoNet device and found no significant difference in the degree of artifact or image distortion. Additionally, the use of NeoNet did not cause either: (i) CT scan artifacts or (ii) impact the quality of EEG recording. Finally, MRI safety testing confirmed a maximum temperature rise associated with the NeoNet device in a child head-phantom to be 0.84 °C after 30 min of high-power scanning, which is within the acceptance criteria for the temperature for 1 h of normal operating mode scanning as per the FDA guidelines. Therefore, the proposed NeoNet device has the potential to allow for concurrent EEG acquisition and MRI or CT scanning without significant image artifacts, facilitating clinical care and EEG/fMRI pediatric research.
format Online
Article
Text
id pubmed-10098641
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100986412023-04-14 Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction Jeong, Hongbae Ntolkeras, Georgios Warbrick, Tracy Jaschke, Manfred Gupta, Rajiv Lev, Michael H. Peters, Jurriaan M. Grant, Patricia Ellen Bonmassar, Giorgio Sensors (Basel) Article Magnetic resonance imaging (MRI) and continuous electroencephalogram (EEG) monitoring are essential in the clinical management of neonatal seizures. EEG electrodes, however, can significantly degrade the image quality of both MRI and CT due to substantial metallic artifacts and distortions. Thus, we developed a novel thin film trace EEG net (“NeoNet”) for improved MRI and CT image quality without compromising the EEG signal quality. The aluminum thin film traces were fabricated with an ultra-high-aspect ratio (up to 17,000:1, with dimensions 30 nm × 50.8 cm × 100 µm), resulting in a low density for reducing CT artifacts and a low conductivity for reducing MRI artifacts. We also used numerical simulation to investigate the effects of EEG nets on the B(1) transmit field distortion in 3 T MRI. Specifically, the simulations predicted a 65% and 138% B(1) transmit field distortion higher for the commercially available copper-based EEG net (“CuNet”, with and without current limiting resistors, respectively) than with NeoNet. Additionally, two board-certified neuroradiologists, blinded to the presence or absence of NeoNet, compared the image quality of MRI images obtained in an adult and two children with and without the NeoNet device and found no significant difference in the degree of artifact or image distortion. Additionally, the use of NeoNet did not cause either: (i) CT scan artifacts or (ii) impact the quality of EEG recording. Finally, MRI safety testing confirmed a maximum temperature rise associated with the NeoNet device in a child head-phantom to be 0.84 °C after 30 min of high-power scanning, which is within the acceptance criteria for the temperature for 1 h of normal operating mode scanning as per the FDA guidelines. Therefore, the proposed NeoNet device has the potential to allow for concurrent EEG acquisition and MRI or CT scanning without significant image artifacts, facilitating clinical care and EEG/fMRI pediatric research. MDPI 2023-03-31 /pmc/articles/PMC10098641/ /pubmed/37050693 http://dx.doi.org/10.3390/s23073633 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jeong, Hongbae
Ntolkeras, Georgios
Warbrick, Tracy
Jaschke, Manfred
Gupta, Rajiv
Lev, Michael H.
Peters, Jurriaan M.
Grant, Patricia Ellen
Bonmassar, Giorgio
Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title_full Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title_fullStr Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title_full_unstemmed Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title_short Aluminum Thin Film Nanostructure Traces in Pediatric EEG Net for MRI and CT Artifact Reduction
title_sort aluminum thin film nanostructure traces in pediatric eeg net for mri and ct artifact reduction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098641/
https://www.ncbi.nlm.nih.gov/pubmed/37050693
http://dx.doi.org/10.3390/s23073633
work_keys_str_mv AT jeonghongbae aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT ntolkerasgeorgios aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT warbricktracy aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT jaschkemanfred aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT guptarajiv aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT levmichaelh aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT petersjurriaanm aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT grantpatriciaellen aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction
AT bonmassargiorgio aluminumthinfilmnanostructuretracesinpediatriceegnetformriandctartifactreduction