Objective
In the fight against cancer, Positron Emission Tomography (PET) can provide 3D images of metabolic processes (i.e. of cells in action) in the body and contributes to diagnosis and treatment. Two-dimensional PET scanners (2D PET) have been replaced by three-dimensional PET machines combined with a CT (3D PET/CT). This led to complementary anatomical information (from the CT) and increased sensitivity (less noise in the images). However, the increased sensitivity comes along with an increased detection of scattered radiations that impair accurate quantitative measurements necessary for diagnosis and follow-up. PET images are usually reconstructed iteratively from the signal detected by the scanner using a system matrix that models the imaging process. In clinical 3D PET/CT, this huge system matrix (order of Terabytes) is highly simplified to make the problem tractable. Based on previous proof-of-principle studies in 2D PET by the applicant, the ACRIPET project proposes to develop a novel and accurate 3D reconstruction method based on an accurate (unlike approximate) system matrix obtained through Monte Carlo modelling of all patient and detector related effects interfering with the imaging process. The method uses compression schemes to reduce Monte Carlo noise and allow storage of the system matrix. These compression schemes will be extended to 3D PET and parallelized on multi node computer architecture to make accurate 3D PET reconstruction clinically feasible. By using the most modern computer resources to fully exploit the potential of 3D PET/CT scanners, PET image accuracy should be significantly increased, contributing to earlier detection and more precise characterization of the disease and of its evolution. The host laboratory has a high expertise and recognition in all fields involved the project and will contribute to enhance the researcher professional maturity for the development of his career in the field.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2007-2-1-IEF
See other projects for this call
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.
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.
Coordinator
75794 PARIS
France
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.