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Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction

Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_37120cbf0d8a41e6857b2c949ac83c70

Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction

About this item

Full title

Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-04, Vol.11 (1), p.8248-8248, Article 8248

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Recent years have seen a resurgence of interest in inexpensive low magnetic field (< 0.3 T) MRI systems mainly due to advances in magnet, coil and gradient set designs. Most of these advances have focused on improving hardware and signal acquisition strategies, and far less on the use of advanced image reconstruction methods to improve attainable i...

Alternative Titles

Full title

Boosting the signal-to-noise of low-field MRI with deep learning image reconstruction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_37120cbf0d8a41e6857b2c949ac83c70

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_37120cbf0d8a41e6857b2c949ac83c70

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-87482-7

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