Sentence examples for most image postprocessing from inspiring English sources
Rather, the software is capable of reading a coordinate matrix from a text/MS-Excel file as this format is an export option in most image postprocessing software packages.
PURPOSE: To prospectively evaluate, by optimizing image acquisition and introducing alternative image postprocessing techniques, dual-energy multidetector computed tomography (CT) for depiction of the lumens of coronary artery stents placed in a moving anthropomorphic heart phantom.
CONCLUSION: Dual-energy multidetector CT performed with optimized acquisition parameters and alternative image postprocessing led to enhanced coronary stent lumen depiction to an extent beyond that achieved with single-energy multidetector CT.
PURPOSE: To evaluate whether dual-energy multidetector computed tomography (CT) with image postprocessing techniques enhances accuracy of calcified plaque quantification beyond the scope of single-energy multidetector CT, by using optical coherence tomography (OCT) as the reference standard.
By using images of the phantom processed with standard chest image postprocessing techniques, a four-alternative forced-choice observer perception study was performed, and the number of detectable test signals (disk-shaped objects 0.3-4.0 0.3-4.0iammter) was determinediameterch image type.
Image postprocessing was performed using software written in MatLab (Mathworks, Natick, MA).
Blood radioactivity over time in live animals was quantified using the InVivoScope image postprocessing tool after defining the VOI.
Image postprocessing was performed with software packages developed in-house (MASS and FLOW; Medis, Leiden, the Netherlands).
The optimization of acquisition timing and contrast medium delivery is essential for vascular assessment and image postprocessing.
Image postprocessing included calculation of MTR maps and an intersequence correction of movement with the automated image registration package rigid body model (AIR 30).
An advantage of a digital image is the capability of software image postprocessing (application of software filters, etc)., which may help the radiologist to better visualize anatomical structures of the breast.
