Objective
Radiomics - the extraction of clinically relevant information from complex medical imaging data via mathematics and data science - is on the verge of becoming a main player in clinical research and medicine. However, the current radiomics workflow mostly relies on feature engineering and black box machine learning, lagging behind the state-of-the-art in explainable artificial intelligence. I will exploit my broad expertise in mathematics, informatics, and biomedical imaging to implement intelligent radiomics by integrating the whole imaging value chain - ranging from imaging hardware, over image formation, to medical interpretation of the data - into an intelligent software environment. EchoLux is a paradigm shift from black box machine learning to truly intelligent radiomics.
EchoLux will be realized in three steps: 1) Modelling the imaging system via a digital twin approach using dedicated physical phantom data and a reference dataset acquired from healthy volunteers; 2) Development and integration of a medical knowledge base that captures the effects of disease on the imaged tissue; 3) Integration of system and medical tissue models into a Bayesian reasoning framework that is able to perform explainable diagnostics and medical knowledge discovery.
The clinical use case is optoacoustic imaging of peripheral neuropathy. I recently demonstrated that the internal structure and vascular supply of peripheral nerves can be visualized in unprecedented detail by exploiting the molecular contrast of optoacoustic imaging. The EchoLux approach, thus, has the potential to enable early detection of pathological changes in peripheral nerves, e.g. in conjunction with diabetes.
EchoLux links the clinical imaging data simultaneously back to the hardware and forward to the medical decision making. This holistic and interdisciplinary approach will leverage radiomics in general and boost the clinical value of optoacoustic imaging.
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.
- natural sciences computer and information sciences software
- medical and health sciences clinical medicine endocrinology diabetes
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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.1.1 - 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.
HORIZON-ERC - HORIZON ERC Grants
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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-2021-STG
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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.
85764 Neuherberg
Germany
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.