Project description
More accurate and efficient deep body functional imaging
The visualisation of internal organs and structures, as well as the monitoring of their functions, is important for the diagnosis and treatment of various medical conditions like cancer and cardiovascular disease. Currently, ultrasound, X-rays, positron emission tomography, and MRI are used for monitoring organs and deep body imaging, but they have their limitations. The EU-funded fastMOT project aims to revolutionise the way deep body functional imaging is done. It proposes a light sensing solution, an ultra-fast and highly efficient single-photon sensor based on superconducting nanowire detectors. By combining optical gating and charge coupling, it will scale up to 10 000 pixels and millimetre diameter to enable multifunctional deep body imaging with diffuse optics.
Objective
Traditionally, monitoring of organs and deep body functional imaging is done by ultrasound, X-Rays (incl CT), PET or MRI. These techniques only allow for very limited measurements of functionality, usually combined with exogenous and radioactive agents. In this project we propose an innovative light sensing solution, a fast gated, ultra-high quantum efficiency single-photon sensor, to enable multi-functional deep body imaging with diffuse optics. The new type of sensor is based on superconducting nanowire single-photon detectors, that have shown to be ultra-fast and highly efficient. However, until now the active area and number of pixels has been limited to micrometers diameter and tens of pixels. We propose the combination of two new readout techniques, optical gating and charge coupling, to overcome this limit and scale to 10,000 pixels and millimeter diameter. In addition we will develop new strategies for performing TD-NIRS and TD-SCOS to use this new light sensor optimally with Monte-Carlo simulations. We will implement the new light sensor in an optical tomograph and achieve a 100x improvement of SNR compared to using existing light sensors. With our proposed Multifunctional Optical Tomograph we will be able to image deep organ and optical structures and monitor functions including oxygenation, haemodynamics, perfusion and metabolism
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences physical sciences acoustics ultrasound
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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)
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.
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HORIZON.3.1 - The European Innovation Council (EIC)
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Topic(s)
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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
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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.
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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.
(opens in new window) HORIZON-EIC-2022-PATHFINDEROPEN-01
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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.
2628 ER Delft
Netherlands
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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