Geometry and Computational Anatomy

Información del proyecto

GEOCA

Identificador del acuerdo de subvención: 661482

DOI

10.3030/661482

Proyecto cerrado

Fecha de la firma de la CE 20 Febrero 2015

Fecha de inicio 1 Marzo 2015

Fecha de finalización 15 Junio 2017

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 185 857,20

Aportación de la UE

€ 185 857,20

Coordinado por

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

Objetivo

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.

Ámbito científico (EuroSciVoc)

• ciencias médicas y de la salud › medicina básica › anatomía y morfología
• ciencias naturales › matemáticas › matemáticas puras › geometría
• ciencias naturales › matemáticas › matemáticas puras › análisis matemático › ecuaciones diferenciales › ecuaciones diferenciales parciales
• ingeniería y tecnología › ingeniería médica › imagenología
• ciencias naturales › matemáticas › matemáticas aplicadas › análisis numérico

Programa(s)

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

Tema(s)

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

Régimen de financiación

MSCA-IF-EF-ST - Standard EF

Convocatoria de propuestas

H2020-MSCA-IF-2014

Coordinador

CHALMERS TEKNISKA HOGSKOLA AB

• Aportación neta de la UEn: € 185 857,20
• Dirección: - ; 412 96 GOTEBORG ; Suecia
• Región: Södra Sverige › Västsverige › Västra Götalands län
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 185 857,20