On the definition of signal-to-noise ratio and contrast-to-noise ratio for FMRI data. [PDF]
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
The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability [PDF]
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.
Alfonso Rodriguez-Molares +2 more
exaly +7 more sources
Methods for Enhancing the Robustness of the Generalized Contrast-to-Noise Ratio. [PDF]
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
Signal-to-Noise Ratio and Contrast-to-Noise Ratio Measurements for Next Generation Tomosynthesis. [PDF]
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 +5 more
europepmc +3 more sources
Performance of A Statistical-Based Automatic Contrast-to-Noise Ratio Measurement on Images of the ACR CT Phantom [PDF]
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 +5 more
doaj +2 more sources
Application of the generalized contrast-to-noise ratio to assess photoacoustic image quality. [PDF]
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 +4 more
europepmc +3 more sources
The Feasibility of Contrast-to-Noise Ratio on Measurements to Evaluate CT Image Quality in Terms of Low-Contrast Detailed Detectability [PDF]
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
Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT. [PDF]
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 +4 more
europepmc +5 more sources
The Role of Contrast-to-noise Ratio in Assessing the Quality of Obstetric Ultrasound: Subjective Approach and the Influence of Maternal and Obstetric Factors [PDF]
Background: This study aimed to compare sonographer assessment of scan quality using contrast-to-noise ratio (CNR) for obstetric ultrasound images to identify the maternal and obstetric factors that could affect scan quality.
Rym Oudghiri Idrissi +1 more
doaj +2 more sources
Automated contrast-to-noise ratio analysis in chest CT: validation of an open-source segmentation approach [PDF]
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 +12 more
doaj +2 more sources

