Sentence examples for robust image quality from inspiring English sources

Initial studies of dual-source CT (DSCT) cardiac imaging have shown a robust image quality and a very good diagnostic accuracy of coronary CT angiography even in high heart rates [ 10, 11].

Without robust image quality, all subsequent diagnostic steps are compromised.

Although XIIs have disadvantages, they have experienced a significant evolution in robust image quality and cost reduction over the decades.

New possibilities for coronary artery plaque imaging may be offered by dual-source CT, which provides robust diagnostic image quality independent of the heart rate.

However, we have demonstrated directly that the eigenshapes we found are quite robust to image quality.

In this paper, we propose an efficient and robust method for image quality assessment.

More studies are needed to demonstrate robust and high image quality in prospectively undersampled CS-accelerated scans of the challenging anatomy characteristic of many clinical trial protocols, such as body imaging, low-contrast anatomy, and targets likely to be confounded by artifacts such as motion.

It is easy to handle and robust while producing superb image quality.

Breath-hold imaging or triggered acquisitions, together with advanced sequence technology (e.g. parallel imaging and rotating phase encoding), make image quality reasonably robust against artefacts induced by respiratory motion and heart action.

First attempts were hampered by long aquisition times that resulted in poor image quality and less robust results.

The image quality metrics are not robust on image context; thus, the quality scores based on PSNR and SSIM are not suitable for reconstructed visual secret images.