Signal-To-Noise Ratio

"Signal-To-Noise Ratio" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

The comparison of the quantity of meaningful data to the irrelevant or incorrect data.

Descriptor ID	D059629
MeSH Number(s)	E05.318.740.872.875 E05.318.780.800.875 G17.800.500 N05.715.360.750.725.750 N05.715.360.780.700.840 N06.850.520.445.800.875 N06.850.520.830.872.750
Concept/Terms	Signal-To-Noise Ratio Signal-To-Noise Ratio Ratio, Signal-To-Noise Ratios, Signal-To-Noise Signal To Noise Ratio Signal-To-Noise Ratios

Below are MeSH descriptors whose meaning is more general than "Signal-To-Noise Ratio".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Statistics as Topic [E05.318.740]
Sensitivity and Specificity [E05.318.740.872]
Signal-To-Noise Ratio [E05.318.740.872.875]
Epidemiologic Research Design [E05.318.780]
Sensitivity and Specificity [E05.318.780.800]
Signal-To-Noise Ratio [E05.318.780.800.875]
Biological Sciences [G]
Mathematical Concepts [G17]
Sensitivity and Specificity [G17.800]
Signal-To-Noise Ratio [G17.800.500]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Statistics as Topic [N05.715.360.750]
Sensitivity and Specificity [N05.715.360.750.725]
Signal-To-Noise Ratio [N05.715.360.750.725.750]
Epidemiologic Research Design [N05.715.360.780]
Sensitivity and Specificity [N05.715.360.780.700]
Signal-To-Noise Ratio [N05.715.360.780.700.840]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Epidemiologic Research Design [N06.850.520.445]
Sensitivity and Specificity [N06.850.520.445.800]
Signal-To-Noise Ratio [N06.850.520.445.800.875]
Statistics as Topic [N06.850.520.830]
Sensitivity and Specificity [N06.850.520.830.872]
Signal-To-Noise Ratio [N06.850.520.830.872.750]

Below are MeSH descriptors whose meaning is related to "Signal-To-Noise Ratio".

Below are MeSH descriptors whose meaning is more specific than "Signal-To-Noise Ratio".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Signal-To-Noise Ratio" by people in this website by year, and whether "Signal-To-Noise Ratio" was a major or minor topic of these publications.

Bar chart showing 59 publications over 16 distinct years, with a maximum of 8 publications in 2021

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
2011	0	2	2
2012	1	1	2
2013	1	5	6
2014	0	3	3
2015	0	3	3
2016	1	2	3
2017	1	2	3
2018	0	5	5
2019	1	3	4
2020	0	6	6
2021	0	8	8
2022	0	3	3
2023	0	3	3
2024	0	3	3
2025	0	4	4
2026	0	1	1

Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.

Zhao C, Guo F, Yang Z, Shao X, Ma SJ, Beckett AJS, Vu AT, Feinberg DA, Wang DJJ. Next Generation 7?Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI. Magn Reson Med. 2026 05; 95(5):2702-2717.

View in: PubMed
Azimi MS, Felfelian V, Zeraatkar N, Dadgar H, Arabi H, Zaidi H. Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels. Comput Biol Med. 2025 Sep; 196(Pt A):110733.

View in: PubMed
Mahmutovic M, Shrestha M, Ramos-Llordén G, Sung D, Edwards LJ, Chu Y, Dubovan PI, Müller A, Hansen SJD, Ghotra A, Pine KJ, Müller R, Weiskopf N, Wald LL, Mekkaoui C, Möller HE, Huang SY, Keil B. High-density MRI coil arrays with integrated field monitoring systems for human connectome mapping. Magn Reson Med. 2025 Nov; 94(5):2286-2303.

View in: PubMed
Müller A, Mahmutovic M, Alem M, Ramos-Llordén G, Sung D, Shrestha M, Hansen SJD, Chemlali C, Ghotra A, Stockmann J, Mekkaoui C, Wald LL, Yendiki A, Huang SY, Keil B. Strong gradients, cool performance: A 64-channel array coil with concurrent field monitoring and thermal control for ex vivo diffusion-weighted brain imaging using the 3T connectome 2.0 MRI scanner. Magn Reson Med. 2025 Nov; 94(5):2268-2285.

View in: PubMed
Zhang K, Cossio P, Rangan AV, Lucas BA, Grigorieff N. A new statistical metric for robust target detection in cryo-EM using 2D template matching. IUCrJ. 2025 03 01; 12(Pt 2):155-176.

View in: PubMed
Shou Q, Zhao C, Shao X, Herting MM, Wang DJ. High resolution multi-delay arterial spin labeling with self-supervised deep learning denoising for pediatric choroid plexus perfusion MRI. Neuroimage. 2025 03; 308:121070.

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Kutscha N, Mahmutovic M, Bhusal B, Vu J, Chemlali C, Hansen SJD, May MW, Knake S, Golestanirad L, Keil B. A deep brain stimulation-conditioned RF coil for 3T MRI. Magn Reson Med. 2025 03; 93(3):1411-1426.

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Guo X, Xiang Y, Yang Y, Ye C, Yu Y, Ma T. Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Comput Biol Med. 2024 09; 180:108933.

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Azimi M, Kamali-Asl A, Ay MR, Zeraatkar N, Hosseini MS, Sanaat A, Arabi H. Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging. Phys Med. 2024 Mar; 119:103315.

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Balaji V, Song TA, Malekzadeh M, Heidari P, Dutta J. Artificial Intelligence for PET and SPECT Image Enhancement. J Nucl Med. 2024 01 02; 65(1):4-12.

View in: PubMed

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