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High quality spectral CT using sparse reconstruction methods

Objective

The new generations of spectral computed tomography (CT) scanners provide energy-dependent information that could translate into higher contrast and material decomposition capabilities, among other benefits, not only improving conventional CT but opening new possibilities for medical diagnosis. However, fast development of spectral CT technology is not flawless. Narrow energy bins are required to achieve the desired energy resolution, which increases the noise ratio per energy bin. A promising solution is to use sparse CT reconstruction methods (SRM) to improve image quality without increasing radiation dose. To date, several SRMs have been proposed based on simulated or phantom data, but only a few studies have considered preclinical or clinical data. The objective of this proposal is to provide and optimize new algorithms for spectral CT that will be designed and validated on experimental data targeting specific high-impact high-potential applications. To this aim, the project will evaluate previously suggested SRMs and propose new SRMs. In addition, the project will introduce a novel method to validate SRM for spectral CT. On the last stage, the developed SRMs will be validated using experimental data from several spectral CT scanners. This research will contribute to the development of spectral CT, which is foreseen as a new revolution in clinical diagnosis.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2015

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 185 076,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 185 076,00
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