Sentence examples for standardized image from inspiring English sources

Here we describe a software architecture, the functional imaging laboratory (funcLAB/G), which addresses (i) standardized image processing using Statistical Parametric Mapping and (ii) its extension to secure sharing and availability for the community using standards-based Grid technology (Globus Toolkit).

CT is a robust imaging technique in terms of reproducibility and standardized image acquisition protocols in both research and clinical settings, which are major criteria for any quantitative imaging technique as the measures need to be objective and reflect changes only due to biology.

To quote Prof. Roland Boellaard (from the movie shown during the Lecture): "The biggest challenge for medical imaging in general is to collect high quality, highly standardized image datasets in order to implement and develop, but also to validate, those new technologies and those advanced data analysis methods".

There is a strong need to define standardized image interpretation criteria, so that patients will benefit from a more accurate and personalized therapeutic planning.

From the standardized image, a region of interest (ROI) was selected by an experienced endosonographer (G.H.K).

The structural neuroimaging core has successfully standardized image acquisition and image processing and analysis protocols across multiple MRI scanners and across different MRI field strengths [ 11],[ 23], maintaining methodological consistency throughout the different stages of the NA-ADNI [ 24].

Our current system is designed for size and orientation standardized images in the FlyExpress database.

In addition to the median filter, we also standardize image sizes so that the images can be processed by the methods used in the feature generation step (e.g. where wavelet transform and matrix operations involved).

Therefore, in order to prospectively test potential clinical applications of CTCs in non-metastatic BC, it is important to standardize image interpretation across labs by taking into account cytomorphologic criteria.

Clearly, there is still a lot of work to be done by and a major interest for the HS-AFM community (and the AFM community in general) to gather efforts to standardize image processing and analysis tools adapted to the specificities of the microscopy technique.

Identifying cortical opacities in real image data required an algorithm that could 1) standardize images for lighting inconsistencies across the image, 2) find the region of the image that contained opacity information (the lens) and 3) categorize each pixel as diseased or normal in order to obtain a final area of disease coverage (i.e. a final severity score from 0.0 to 16.0).