Sentence examples for model to image from inspiring English sources
This study aims to investigate the sensitivity of quantitative metrics derived from dynamic contrast-enhanced (DCE) magnetic resonance imaging and a pharmacokinetic (PK) model to image quality and acquisition parameters.
Remote sensing image rectification is commonly done by applying a polynomial trend mapping (PTM) model to image coordinates and map coordinates of ground-control-points.
By applying the new model to image denoising problems, we show that it is an effective technique that can produce satisfactory denoised image.
Here, we use ODT with fluorescence and a kinetics compartment model incorporated into the forward model to image a folate-targeted fluorophore pair in a mouse tumor in vivo.
Later studies have confirmed the ND-GFP mouse can be used as a model to image nascent tumor vasculature in the skin, mammary fat pad, pancreas, liver, lung, bone and colon [ 50– 50].
Here, we use a knock-in luciferase reporter model to image Cox2 expression across a range of tissues in mice following treatment with the either the prototypical bacterial pathogen-associated molecular pattern (PAMP), LPS, which activates Toll-like receptor (TLR 4, or with poly(I C), a viral PAMP, which activates TLR3.
Some relatively recent research has addressed the development of statistical models of wavelet coefficients of natural images and application of these models to image denoising [3 9].
We use synthetic applications to demonstrate the ability of inverse modeling techniques combined with mechanistic reactive transport models to image reactive mineral lenses in the subsurface and quantify estimation error using indirect, commonly measured groundwater parameters.
Digitally reconstructed radiographic images were used for 3D-to-2D model-to-image registration technique.
However, no studies have employed 3D-to-2D model-to-image registration technique to analyze in vivo healthy hip kinematics.
The 3D positions and orientations of the pelvis and femur in movement cycle were determined by 3D-to-2D model-to-image registration technique using image correlations.
