Sentence examples for higher image noise from inspiring English sources
On the other hand, the signal-to-noise ratio decreases with phase acceleration leading to an overall higher image noise for MAVRIC-fast compared to MAVRIC (Table 2).
It has demonstrated that obese patients result in lower NECR and higher image noise which ultimately will lead to poorer image quality [5].
Energy separation between the front low-energy and the back high-energy image is modest and results in higher image noise, but there are no misregistration problems.
Indeed, being that image noise directly correlates to body weight [ 39], it is conceivable that such mAs values would be associated with higher image noise, which could therefore affect quantitative results significantly.
Images at 80 kVp have higher contrast and improve lesion visualization but are associated with higher image noise, whereas 140-kVp images have lower contrast and noise and contribute finer anatomic detail and edge delineation.
This will eliminate all gaps within this structure introduced by artifact such as beam hardening and high image noise.
Although reduction of dose to the 20%% level may allow bone 3D printing, soft tissue assessment is limited by high image noise.
Both in-plane and z-direction resolution of SAFIRE5 showed strong dependency on contrast, reflecting SAFIRE5's nonlinearity.A methodology was developed to measure three-dimensional CT noise and resolution properties for iterative reconstruction, especially at challenging measurement conditions with low contrast and high image noise.
Complete omission of image smoothing usually is not an option, since too high image noise would mask relevant low intensity lesions and generally hampers the diagnostic evaluation of the images by the physician.
In an ideal case, approximately 1 pixel of uncertainty is expected due to the round off error of the positioning, with greater uncertainty when low contrast or high image noise are present in the images.
Excessive reduction of radiation dose will lead to image quality degradation with either high image noise or loss of image details, which will especially affect sub-solid lesions.
