Sentence examples for the material differentiation from inspiring English sources

Dual-energy CT (DECT) techniques based on either dual-source CT systems or single-source CT with rapid kilovoltage switching, take advantage of the material differentiation of iodine, and simultaneously provide virtual non-contrast medium-enhanced and iodine-enhanced image series from a single contrast-enhanced scan.

Because of this, material differentiation can always become easier with an improvement in SNR.

While similar elongated bars are populated over a surface on the first, local material differentiation of the framework is introduced in the latter by reading the results of an overall structural analysis of the assembly and a multiple load-case study of each member.

Material differentiation for instance enables the separation of low and high Z-number materials, impacting on bone removal post-processing techniques (e.g. differentiation of calcium and iodine) [10, 11, 12] or urinary stones analysis (e.g. differentiation of uric-acid-containing urinary stones and other stone types) [13, 14, 15, 16, 17].

The distinct attenuation values at chosen energy spectra are used for material differentiation in dual-energy CT imaging provided that the atomic numbers and/or mass densities are different [1, 2].

Material differentiation and elemental decomposition thus become possible with the application of two different X-ray spectra.

DECT improves material differentiation and may improve focal lesion characterisation.

Dual- and multi-energy CT improve material differentiation.

Dual-energy CT uses two X-ray spectra enabling material differentiation by analysing material-dependent photo-electric and Compton effects.

Computed tomography enables material differentiation by analysing two X-ray spectra, termed dual-energy imaging, allowing the analysis of Compton and photoelectric effects [1, 2].

Dual-energy computed tomography (DECT) is an imaging technique which has been used for quantitative imaging due to its ability for material differentiation [12, 13].