Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
Content archived on 2024-06-18

Five Challenges in Computational Anatomy

Objective

New medical imaging technologies encode human anatomy in a wide variety of data structures. Computational Anatomy (CA) offers an approach to synthesize this plethora of data by comparison of anatomical features using smooth invertible transformations specific to the data structure.
This proposal is for work to develop new mathematical and numerical methods for image analysis in the framework of CA, aimed at meeting the following five challenges in image analysis for the comparison and interpolation of shapes in biomedical images of the heart and the brain.
1. Data structure: Develop a unified approach for registering images encoded in a wide variety of data structures. The unifying concept in our approach is the momentum map, a fundamental concept from the theory of Lie group transformations.
2. Data fusion: After placing the transformations of the variety of data structures into the same conceptual framework using momentum maps, synthesise (fuse) their multiple modalities of information by accounting for the different transformation properties of the different data structures under smooth invertible maps.
3. Multiple resolutions: Develop the momentum map framework to enable registration of data at multiple resolutions by concatenating the Lie group transformations that define the momentum maps.
4. Time-varying (4D) images: Treat time-varying images in this geometric framework by matching snapshots in time using geodesic splines that interpolate the image snapshot from one time to another. Quantity the effects of noise and uncertainty in 4D image analysis.
5. Changes in image topology: Extend the transformative approach to allow changes in topology in passing between images by using the method of metamorphosis.
Simply put, the five challenges are: to 1. register images of different data structures and 2. combine them, even at 3. different resolutions; then do the same things with 4. splines and 5. metamorphosis, including noise.

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.

You need to log in or register to use this function

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.

Call for proposal

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

ERC-2010-AdG_20100224
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.

ERC-AG - ERC Advanced Grant

Host institution

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
EU contribution
€ 1 740 000,00
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

See on map

Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
Links
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.

No data

Beneficiaries (1)

My booklet 0 0