"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.
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".
Below are MeSH descriptors whose meaning is more specific than "Signal-To-Noise Ratio".
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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2013 | 0 | 1 | 1 |
| 2014 | 0 | 1 | 1 |
| 2017 | 0 | 1 | 1 |
| 2018 | 0 | 2 | 2 |
| 2019 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Signal-To-Noise Ratio" by people in Profiles.
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Song J, Chow HM, Nikam R, Kandula V, Choudhary AK, Li H. Reproducibility of axonal water fraction derived from the spherical mean diffusion weighted signal. Magn Reson Imaging. 2019 11; 63:49-54.
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Siman W, Mikell JK, Mawlawi OR, Mourtada F, Kappadath SC. Dose volume histogram-based optimization of image reconstruction parameters for quantitative 90 Y-PET imaging. Med Phys. 2019 Jan; 46(1):229-237.
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Barrera CA, Otero HJ, White AM, Saul D, Biko DM. Depiction of the native coronary arteries during ECG-triggered High-Pitch Dual-Source Coronary Computed Tomography Angiography in children: Determinants of image quality. Clin Imaging. 2018 Nov - Dec; 52:240-245.
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Chilcott AK, Bradley KM, McGowan DR. Effect of a Bayesian Penalized Likelihood PET Reconstruction Compared With Ordered Subset Expectation Maximization on Clinical Image Quality Over a Wide Range of Patient Weights. AJR Am J Roentgenol. 2018 Jan; 210(1):153-157.
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Niu T, Dong X, Petrongolo M, Zhu L. Iterative image-domain decomposition for dual-energy CT. Med Phys. 2014 Apr; 41(4):041901.
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Ishikawa H, Chen CL, Wollstein G, Grimm JL, Ling Y, Bilonick RA, Sigal IA, Kagemann L, Schuman JS. High dynamic range imaging concept-based signal enhancement method reduced the optical coherence tomography measurement variability. Invest Ophthalmol Vis Sci. 2013 Jan 30; 54(1):836-41.