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The Generalized Contrast-to-Noise Ratio
2018 IEEE International Ultrasonics Symposium (IUS), 2018Many adaptive algorithms claim to provide higher contrast than delay-and-sum (DAS). These claims are often backed by estimations of the contrast-to-noise ratio (CNR). Intuitively, we assume that higher CNR leads to higher probability of lesion detection, and this is indeed the case for DAS.
Alfonso Rodriguez-Molares +5 more
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An analysis of elastographic contrast-to-noise ratio
Ultrasound in Medicine & Biology, 1998We present a theoretical formalism and simulation results that allow the incorporation of the elastic contrast properties of tissues with simple geometries into the elastographic noise models developed previously. This analysis results in the computation of the elastographic contrast-to-noise ratio (CNRe).
T, Varghese, J, Ophir
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Contrast‐to‐noise ratios in maximum intensity projection images
Magnetic Resonance in Medicine, 1992AbstractWe present a statistical analysis of the maximum intensity projection (MIP) algorithm, which is commonly used for MR angiography (MRA). The analysis explains why MIP projection images display as much as a twofold increase in signal‐ and contrast‐to‐noise ratios over those of the source image set.
D G, Brown, S J, Riederer
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Quantitative evaluation of active thermography using contrast-to-noise ratio
Applied Optics, 2018Active thermography is an infrared-based technique for nondestructive testing of materials. It often uses advanced evaluation techniques based on temperature spatial and temporal changes. Results of active thermography are contrast differences, which indicate possible defects in an inspected material.
M. Švantner +3 more
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Contrast-to-Noise-Ratio Measurements in Three-Dimensional Magnetic Resonance Angiography
Investigative Radiology, 1993The authors report on the development and preliminary validation of a technique for measuring contrast-to-noise ratio (CNR) at all points along selected vessel segments in the original three-dimensional magnetic resonance angiography (MRA) dataset.Contrast-to-noise ratio dependencies on flow rate, field of view, and flip angle were measured on images ...
Y, Du +3 more
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Grayscale contrast enhancement based on greyscale-based contrast-to-noise ratio
Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, 2021Subjective reading is still the majority way in current medical image diagnostics, and the visualization effect of images is one important factor which may affect the reading performance or diagnostic quality. In computed tomography (CT), CT numbers are converted into greyscale images by the display window settings.
Wei Zhou +3 more
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Generalized contrast-to-noise ratio as a metric of photoacoustic image quality
Photons Plus Ultrasound: Imaging and Sensing 2021, 2021Multiple image quality metrics are currently available to assess target detectability in photoacoustic images. Common metrics include contrast, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR). The generalized contrast-to-noise ratio (gCNR) is a relatively new image quality metric to assess the probability of photoacoustic target ...
Kelley M. Kempski +4 more
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Maximizing signal-to-noise and contrast-to-noise ratios in flash imaging
Magnetic Resonance Imaging, 1987This paper presents an analysis of signal-to-noise and contrast-to-noise ratios from small tip angle, gradient reversal (FLASH) imaging. Analytic and numerical techniques are used to determine the delay times and tip angles that maximize signal-to-noise per unit time from a single tissue. Similar procedures are used to determine the delay times and tip
R E, Hendrick, J B, Kneeland, D D, Stark
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Maximization of contrast‐to‐noise ratio to distinguish diffusion and microcirculatory flow
Journal of Magnetic Resonance Imaging, 1991AbstractOptimization of the contrast‐to‐noise ratio (CNR) is described for microcirculation magnetic resonance (MR) imaging techniques based on flow‐compensated/flow‐dephased sequences, both with and without even‐echo rephasing. The authors present the most advantageous manner of applying flow‐dephased gradients, such that de‐phasing is maximal while ...
J H, Maki +3 more
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