Sentence examples for imaging data processing from inspiring English sources

The corresponding sequence of imaging data processing methods is depicted on the right side of the diagram.

Compared to techniques relying on single molecule localization which require relatively long image acquisition times and post imaging data processing [ 5– 7], the purely physical resolution improvement provided by STED is advantageous for live cell applications.

This chapter briefly explores some developments in research into medical imaging, data processing, and rapid prototyping technologies.

For both, the confocal and the wide-field imaging, data processing was performed as follows: Since the main goal was to compare the two filter configurations, an image was acquired with each filter at the exact same settings (excitation intensity, acquisition time, etc).

The algorithm fared well with respect to the computational burden imposed by the subtle intricacies of the algorithm itself as well as the amount of imaging data required in processing each 3D CT dataset.

Other than imaging data quality, image processing steps and analysis, there was very little control.

While the accuracy of medical imaging is a critical first step in 3D printing, the additional elements of segmentation and processing of imaging data and the technical aspects of the 3D printing process can all affect the accuracy of the final 3D printed model.

The present study has some limitations: First, the retrospective design only allowed processing of imaging data from a standardized time-saving scanning protocol.

COINS can handle a variety of imaging modalities and analysis tools, as well as data capture and archival services that automate the transfer, organization, backup and processing of imaging data directly from the MRI scanner.

Advances in MRI acquisitions including diffusion-weighted imaging, post-acquisition image processing techniques, and quantification of imaging data are increasing the accuracy of lesion detection.

To prepare for that launch, and to expand its team to meet the challenges that come from processing a huge amount of imaging data on a day-to-day basis, the company has raised $52 million in new funding.