Sentence examples for input imaging from inspiring English sources

For the association study of longitudinal imaging phenotypes to the genotypes, the input imaging features are a set of matrices corresponding to the measurements at T consecutive time points, where X t is the imaging measurements for a certain type of imaging markers, such as VBM or FreeSurfer markers used in this study, at time t(1 ≤ t ≤ T).

First, image processing techniques, such as contrast enhancement, filtering, classification, and segmentation, are used to improve the quality of the input imaging data.

Indeed, this finding raises questions as to the potential effect this particular mindset can have in practice, particularly in view of radiology practitioners' input into imaging protocols, as well as them requesting that an imaging examination needs to be repeated.

Here we adopt the single input-trace imaging approach of classical Kirchhoff migration to implement the adaptive focused migration.

Unlike the dynamically focused beam method proposed by Nowack, our method uses the single input-trace imaging approach of classic Kirchhoff migration to avoid repeating local slant stacks for a beam at different imaging points, which is helpful to speed up the migration process.

Furthermore, with the improvement of CT and MR imaging, the size of input images are likely to expand.

With advances in the surgical techniques and the advent of neoadjuvant therapies, the input required from imaging sciences has progressively increased and has undergone paradigm shifts.

The heatmap of a given SAMM was drawn using an in-house program that generates input for the imaging program fly (http://martin.gleeson.com/fly/).

First, the input image is decomposed into an elemental image array (EIA) using the depth-converted integral imaging technique.

The free oscillation amplitude is set to a low value (~ 5 nm); this is important for a minimal energy input during imaging, thus preventing disruption of the sample and allowing stable imaging.

Our future research aims at extending the developments obtained for the Parkinson's case to other degenerative diseases, which are based on similar input medical imaging information.