Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging

The signal-to-noise ratio is a key consideration when selecting a magnetic resonance imaging protocol. Thermal noise is major issue, especially in high resolution functional images. Here the authors introduce a method to suppress thermal noise in functional images without losses in spatial precision...

Full description

Saved in:
Bibliographic Details
Main Authors: Luca Vizioli, Steen Moeller, Logan Dowdle, Mehmet Akçakaya, Federico De Martino, Essa Yacoub, Kamil Uğurbil
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Q
Online Access:https://doaj.org/article/49878964c36e40e8b136437922f9a56a
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:doaj.org-article:49878964c36e40e8b136437922f9a56a
record_format dspace
spelling oai:doaj.org-article:49878964c36e40e8b136437922f9a56a2021-12-02T16:38:26ZLowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging10.1038/s41467-021-25431-82041-1723https://doaj.org/article/49878964c36e40e8b136437922f9a56a2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25431-8https://doaj.org/toc/2041-1723The signal-to-noise ratio is a key consideration when selecting a magnetic resonance imaging protocol. Thermal noise is major issue, especially in high resolution functional images. Here the authors introduce a method to suppress thermal noise in functional images without losses in spatial precision, increasing the signal-to-noise ratio.Luca VizioliSteen MoellerLogan DowdleMehmet AkçakayaFederico De MartinoEssa YacoubKamil UğurbilNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Luca Vizioli
Steen Moeller
Logan Dowdle
Mehmet Akçakaya
Federico De Martino
Essa Yacoub
Kamil Uğurbil
Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
description The signal-to-noise ratio is a key consideration when selecting a magnetic resonance imaging protocol. Thermal noise is major issue, especially in high resolution functional images. Here the authors introduce a method to suppress thermal noise in functional images without losses in spatial precision, increasing the signal-to-noise ratio.
format article
author Luca Vizioli
Steen Moeller
Logan Dowdle
Mehmet Akçakaya
Federico De Martino
Essa Yacoub
Kamil Uğurbil
author_facet Luca Vizioli
Steen Moeller
Logan Dowdle
Mehmet Akçakaya
Federico De Martino
Essa Yacoub
Kamil Uğurbil
author_sort Luca Vizioli
title Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
title_short Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
title_full Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
title_fullStr Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
title_full_unstemmed Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
title_sort lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/49878964c36e40e8b136437922f9a56a
work_keys_str_mv AT lucavizioli loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT steenmoeller loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT logandowdle loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT mehmetakcakaya loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT federicodemartino loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT essayacoub loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
AT kamilugurbil loweringthethermalnoisebarrierinfunctionalbrainmappingwithmagneticresonanceimaging
_version_ 1718383571222134784