Results 1 to 10 of about 1,063,046 (175)

On the definition of signal-to-noise ratio and contrast-to-noise ratio for FMRI data. [PDF]

PLoS ONE, 2013
Signal-to-noise ratio, the ratio between signal and noise, is a quantity that has been well established for MRI data but is still subject of ongoing debate and confusion when it comes to fMRI data.
Marijke Welvaert, Yves Rosseel
doaj   +6 more sources

Signal-to-Noise Ratio and Contrast-to-Noise Ratio Measurements for Next Generation Tomosynthesis. [PDF]

Proc SPIE Int Soc Opt Eng, 2021
It is standard for the x-ray source in conventional digital breast tomosynthesis (DBT) acquisitions to move strictly along the chest wall of the patient. A prototype, next-generation tomosynthesis (NGT) system has been developed that is capable of acquiring customized geometries with source motion parallel and perpendicular to the chest wall.
Martin DA, Vent TL, Choi CJ, Barufaldi B, Acciavatti RJ, Maidment ADA.   +5 more
europepmc   +3 more sources

Methods for Enhancing the Robustness of the Generalized Contrast-to-Noise Ratio. [PDF]

IEEE Trans Ultrason Ferroelectr Freq Control, 2023
The generalized contrast-to-noise ratio (gCNR) is a new but increasingly popular metric for measuring lesion detectability due to its use of probability distribution functions that increase robustness against transformations and dynamic range alterations.
Schlunk S, Byram BC.
europepmc   +3 more sources

The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability. [PDF]

IEEE Trans Ultrason Ferroelectr Freq Control, 2020
In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast and lesion detectability in ultrasound images. Recent studies have shown that the CNR cannot be used with modern beamformers, as dynamic range alterations can produce arbitrarily high CNR values with no real effect on the probability of lesion detection.
Rodriguez-Molares A, Rindal OMH, D'hooge J, Masoy SE, Austeng A, Lediju Bell MA, Torp H.   +6 more
europepmc   +6 more sources

Performance of A Statistical-Based Automatic Contrast-to-Noise Ratio Measurement on Images of the ACR CT Phantom [PDF]

Journal of Imaging
This study evaluates the performance of a statistical-based automatic contrast-to-noise ratio (CNR) measurement method on images of the ACR CT phantom under varying imaging parameters.
Choirul Anam, Riska Amilia, Ariij Naufal, Heri Sutanto, Wahyu S. Budi, Geoff Dougherty   +5 more
doaj   +2 more sources

Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality. [PDF]

Biomed Opt Express, 2020
The generalized contrast-to-noise ratio (gCNR) is a relatively new image quality metric designed to assess the probability of lesion detectability in ultrasound images. Although gCNR was initially demonstrated with ultrasound images, the metric is theoretically applicable to multiple types of medical images.
Kempski KM, Graham MT, Gubbi MR, Palmer T, Lediju Bell MA.   +4 more
europepmc   +3 more sources

Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT. [PDF]

Dentomaxillofac Radiol, 2014
The aim of this study was to evaluate how imaging parameters at clinical dental CBCT affect the accuracy in quantifying trabecular bone structures, contrast-to-noise ratio (CNR) and radiation dose.15 radius samples were examined using CBCT (Accuitomo FPD; J. Morita Mfg., Kyoto, Japan).
Klintström E, Smedby O, Klintström B, Brismar TB, Moreno R.   +4 more
europepmc   +5 more sources

The Feasibility of Contrast-to-Noise Ratio on Measurements to Evaluate CT Image Quality in Terms of Low-Contrast Detailed Detectability [PDF]

Medical Sciences, 2020
Background: To evaluate contrast-to-noise ratio (CNR) measurements in assessing image quality, in the context of the detectability performance of low-contrast detail (LCD), in computed tomography (CT) images, since exposure to elevated ionising-type ...
Haney A Alsleem, Hussain M Almohiy
doaj   +2 more sources

Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach [PDF]

Insights into Imaging
Objectives This study aimed to evaluate the feasibility and accuracy of automated contrast-to-noise ratio (CNR) analysis in chest CT using the open-source body and organ analysis (BOA) framework and to validate segmentation modifications for reproducible
Nikolas Beck, Giulia Baldini, Luca Salhöfer, René Hosch, Sebastian Zensen, Marcel Opitz, Denise Bos, Jannis Straus, Michael Forsting, Felix Nensa, Lale Umutlu, Johannes Haubold, Mathias Holtkamp   +12 more
doaj   +2 more sources

Contrast-to-noise ratio comparison between X-ray fluorescence emission tomography and computed tomography. [PDF]

J Med Imaging (Bellingham)
We provide a comparison of X-ray fluorescence emission tomography (XFET) and computed tomography (CT) for detecting low concentrations of gold nanoparticles (GNPs) in soft tissue and characterize the conditions under which XFET outperforms energy-integrating CT (EICT) and photon-counting CT (PCCT).We compared dose-matched Monte Carlo XFET simulations ...
DeBrosse H, Jadick G, Meng LJ, La Rivière P.   +3 more
europepmc   +3 more sources