Geometry and Computational Anatomy

Informations projet

GEOCA

N° de convention de subvention: 661482

DOI

10.3030/661482

Projet clôturé

Date de signature de la CE 20 Février 2015

Date de début 1 Mars 2015

Date de fin 15 Juin 2017

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 185 857,20

Contribution de l’UE

€ 185 857,20

Coordonné par

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

Objectif

The past decades have brought fascinating technological improvements of medical imaging techniques. This rapid development is accompanied by a growing need for computer based algorithms to align and extract markers from medical images. The days of heuristically engineered computer algorithms are, however, over; competitive, state-of-the-art medical imaging software must be based on rigorous mathematics to ensure accuracy, efficiency, and stability.

Our research project lies at the forefront of computational anatomy (CA), a truly interdisciplinary field within medical imaging, combining differential equations theory, numerical analysis, computer vision, statistical methods, and differential geometry. CA is an emerging field that harbours a wealth of challenging problems. In particular, to develop image registration algorithms capable of handling heavily nonlinear deformations. In this project we construct image registration algorithms beyond state-of-the-art, adept of tasks where today's methods are inadequate. This is achieved by combining the knowledge of Professor Stig Larsson (scientist in charge) with the knowledge of Dr Klas Modin (experienced researcher).

Larsson is a world-leading expert on numerical methods for partial differential equations. He has a large network of international collaborators as well as close connections to the medical imaging industry in Sweden.

Modin has extensive expertise on geometric integration (GI), infinite-dimensional geometry, and CA, acquired via two post-doctoral positions at top research groups in two third countries. He thus brings state-of-the-art knowledge to the European research area. In particular, Modin's mastery of large deformation diffeomorphic metric matching (LDDMM) and Euler--Arnold equations is essential; it provides the link between image registration and PDEs. This link is the basis of the new, exciting methodology in the project: to apply state-of-the-art numerical PDE techniques to image registration.

Champ scientifique (EuroSciVoc)

• sciences médicales et de la santé › médecine fondamentale › anatomie et morphologie
• sciences naturelles › mathématiques › mathématiques pures › géométrie
• sciences naturelles › mathématiques › mathématiques pures › analyse mathématique › équations différentielles › équations différentielles partielles
• ingénierie et technologie › ingénierie médicale › imagerie diagnostique
• sciences naturelles › mathématiques › mathématiques appliquées › analyse numérique

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMME PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Thème(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régime de financement

MSCA-IF-EF-ST - Standard EF

Appel à propositions

H2020-MSCA-IF-2014

Coordinateur

CHALMERS TEKNISKA HOGSKOLA AB

• Contribution nette de l'UE: € 185 857,20
• Adresse: - ; 412 96 GOTEBORG ; Suède
• Région: Södra Sverige › Västsverige › Västra Götalands län
• Type d’activité: Higher or Secondary Education Establishments
• Coût total: € 185 857,20