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Deep learning-enhanced super-resolution diffusion-weighted liver MRI: improved image quality, diagnostic performance, and acceleration. [PDF]
Insights ImagingZhao D +8 more
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Optimization of Contrast Injection Protocols for Time-Resolved MRA Technique in Dogs: A Comparative Study of Vascular Signal Characteristics and Artifacts. [PDF]
Vet Radiol UltrasoundHong S, Kim E, Yoon J, Choi J.
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Integrating the Contrasting Perspectives Between the Constrained Disorder Principle and Deterministic Optical Nanoscopy: Enhancing Information Extraction from Imaging of Complex Systems. [PDF]
Bioengineering (Basel)Ilan Y.
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Synthetic X-Q space learning for diffusion MRI parameter estimation: a pilot study in breast DKI. [PDF]
Int J Comput Assist Radiol SurgMasutani Y +7 more
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Signal‐to‐noise ratio considerations in radiographic imaging
Medical Physics, 1983The methodology employed to calculate radiographic signal‐to‐noise ratio (SNR) for the commonly used disk‐shaped test object is reviewed. Although the “matched” aperture yields the maximum SNR, its shape is difficult to achieve experimentally. On the other hand, a circular aperture having the same size as the object is much simpler to realize.
D P, Chakraborty, G T, Barnes
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The intrinsic signal‐to‐noise ratio in NMR imaging
Magnetic Resonance in Medicine, 1986AbstractThe fundamental limit for NMR imaging is set by an intrinsic signal‐to‐noise ratio (SNR) for a particular combination of rf antenna and imaging subjects. The intrinsic SNR is the signal from a small volume of material in the sample competing with electrical noise from thermally generated, random noise currents in the sample.
W A, Edelstein +3 more
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