Sentence examples for improve imaging quality from inspiring English sources

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However, these images are usually blurred when using the standard range-Doppler algorithm, if a long coherent processing interval (CPI) is used, and motion compensation techniques are hence necessary to improve imaging quality.

Given their complementary properties, in this study, we propose an imaging method with synthetic aperture (SA) ultrasound imaging by combining SLSC weighting (SLSCw) and ESBMV, to improve imaging quality at all depth.

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Recently, the NOTA-derivative [68Ga]NO2APBP was identified to show even improved imaging quality [21].

Then we introduce this parameter into the GBM, which not only improves imaging quality of deep reflectors but also makes the shallow small-scale geological structures well-defined.

Although there are a lot of recent work on improving imaging quality in real time [8], Ho [9] and Xiao [10] reduced the computational complexity and improved operational efficiency in their work but still cannot achieve real-time performance.

It would be worthwhile to determine whether Gelofusine is also effective in the case of Cu-cyclam-RAFT-c -RGDfK- 4, sinCu-cyclam-RAFT-c -RGDfK- 4adioaCu-cyclam-RAFT-c -RGDfK- 4improving imaging quality, espeCu-cyclam-RAFT-c -RGDfK- 4e abdomen.

Screening errors may be reduced either by reducing the risk of misperception (double reading) or by improving imaging quality, but this would achieve earlier detection in a minority of cancer cases.

The results showed that the ESBMV-SCBP method achieved an improved imaging quality compared with the ESBMV beamformer.

Improving the measurement sensitivity is therefore an important factor as it can improve image quality and reduce imaging times.

The resulting increased bandwidth per pixel in the phase-encoding direction and the shortened echo-planar imaging train improve image quality, mostly by reducing the background noise and the amount of motion artefacts.

To improve the imaging quality of low-dose computed tomography (CT) images, a deep learning based method for low-dose CT restoration is presented in this paper.

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