Project description
Magnetic sensors for image-guided surgery
Image-guided surgery offers numerous advantages, including the ability of surgeons to navigate their instruments with precision and speed. However, it requires the use of harmful X rays or CT. The EU-funded DEEP FIELD project proposes to replace this type of radiation with magnetic tracking of surgical instruments. Researchers will develop innovative sensors that overcome the distortion issues associated with the use of the magnetic field in surgery. The DEEP FIELD technology is expected to change clinical surgery with applications in cardiovascular navigation, endoscopy and robotic surgery, leading to significantly improved patient outcomes.
Objective
The future of surgery will be image-guided. But how will the surgeon navigate instruments beyond the camera's field of view without using harmful x-rays? The potential of magnetic tracking to navigate surgical instruments without x-rays has long been appreciated but current technology lacks sufficient accuracy, speed, robustness and immunity to magnetic field distortion to change the clinical paradigm.
DEEP FIELD will break thorough the scientific frontier in surgical navigation to make magnetic tracking the new gold standard in surgical instrument navigation. The results of DEEP FIELD will significantly reduce or eliminate the use of real-time radiation sources such as x-ray and CT in many procedures while also enabling more accurate surgery, advanced image fusion and significantly improved patient outcomes. For this vision to become reality, DEEP FIELD will create ground-breaking magnetic field transmitter designs} with new magnetic field shaping and distortion rejection techniques (WP1) to provide faster (2.5X) and more accurate (8X) tracking than the current state of the art (NDI Aurora Tabletop transmitter). The project will develop new and ambitiously complex magnetic sensors, including the first on-chip sensor suitable for system-in-package (SiP) fusion with other sensor types. DEEP FIELD will also eliminate the wired connection to magnetic sensors which fail regularly in current clinical use (WP2). DEEP FIELD will demonstrate entirely novel algorithms for surgical instrument tracking using sensor fusion and machine learning approaches (WP3) to compensate for magnetic field distortion, a major shortcoming of current technology. An ambitious plan to integrate and test all three WPs in realistic pre-clinical settings (WP4) is included where DEEP FIELD designs will provide the scientific foundation for the future of intra-operative instrument tracking in cardiovascular navigation, endoscopy and robotic surgery without reliance on harmful radiation.
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.
- medical and health sciences clinical medicine surgery
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
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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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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
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.
ERC-COG - Consolidator Grant
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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) ERC-2020-COG
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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.
T12 YN60 Cork
Ireland
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.