Paper

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

Published Nov 1, 2024 · Aram Salehi, Mathieu Mach, Chloé Najac

Journal of magnetic resonance

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Our deep learning model improves contrast ratio in low-field MRI images, outperforming the non-deep learning method BM4D and maintaining high spatial frequency components.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

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