CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to revolutionize medical imaging by developing a new continuous representation of images that adapts resolution based on available data. By utilizing advanced statistical methods and polynomial functions, it seeks to reduce artifacts and improve image quality in tomographic imaging.
In tomographic medical imaging, images are not acquired directly but sample data of statistical nature is measured from the patient placed in the field of view.
From the acquired data, a volumetric image is then reconstructed by computational methods.
Since the data acquisition pattern does not take into account the underlying image representation, reconstruction artifacts are likely to occur, especially when images are represented by uniform grids of voxels.
As a consequence, images contain vis…
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
