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GEOCA

Geometry and Computational Anatomy

Total Cost €

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EC-Contrib. €

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Partnership

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 GEOCA project word cloud

Explore the words cloud of the GEOCA project. It provides you a very rough idea of what is the project "GEOCA" about.

expertise    industry    improvements    modin    dr    rigorous    heavily    efficiency    metric    forefront    stig    fascinating    statistical    post    scientist    heuristically    registration    lies    ca    researcher    diffeomorphic    vision    rapid    extensive    basis    positions    align    construct    provides    close    computational    anatomy    pde    interdisciplinary    engineered    klas    wealth    images    international    integration    pdes    geometry    euler    stability    charge    collaborators    gi    accuracy    equations    adept    inadequate    truly    theory    software    handling    deformations    larsson    markers    link    lddmm    arnold    technological    mastery    medical    decades    acquired    numerical    competitive    sweden    harbours    he    computer    algorithms    dimensional    area    groups    techniques    partial    days    network    matching    deformation    world    doctoral    imaging    geometric    expert    infinite    accompanied    differential    mathematics    extract    connections    methodology    nonlinear    countries    brings    professor    combining    image   

Project "GEOCA" data sheet

The following table provides information about the project.

Coordinator
CHALMERS TEKNISKA HOEGSKOLA AB 

Organization address
address: -
city: GOETEBORG
postcode: 41296
website: www.chalmers.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Project website https://www.chalmers.se/en/projects/Pages/Geometry-and-Computational-Anatomy-QGEOCAQ.aspx
 Total cost 185˙857 €
 EC max contribution 185˙857 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-03-01   to  2017-06-15

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CHALMERS TEKNISKA HOEGSKOLA AB SE (GOETEBORG) coordinator 185˙857.00

Map

 Project objective

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.

 Publications

year authors and title journal last update
List of publications.
2017 M. Bauer, S. Joshi, K. Modin
Diffeomorphic random sampling using optimal information transport
published pages: , ISSN: , DOI:
3rd conference on Geometric Science of Information (GSI2017) 2019-07-24
2017 Martin Bauer, Sarang Joshi, Klas Modin
On geodesic completeness for Riemannian metrics on smooth probability densities
published pages: , ISSN: 0944-2669, DOI: 10.1007/s00526-017-1195-8
Calculus of Variations and Partial Differential Equations 56/4 2019-07-24
2015 Martin Bauer, Sarang Joshi, and Klas Modin
Weighted Diffeomorphic Density Matching with Applications to Thoracic Image Registration
published pages: , ISSN: , DOI:
Proc. 5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy (MFCA) 2019-07-24
2016 Robert I McLachlan, Klas Modin, Olivier Verdier
Symmetry reduction for central force problems
published pages: 55003, ISSN: 0143-0807, DOI: 10.1088/0143-0807/37/5/055003
European Journal of Physics 37/5 2019-07-24
2017 J. Benn, S. Marsland, R. McLachlan, K. Modin, O. Verdier
Currents and finite elements as tools for shape space
published pages: , ISSN: , DOI:
Preprint (currently under peer-review) 2019-07-24
2015 Martin Bauer, Sarang Joshi, Klas Modin
Diffeomorphic Density Matching by Optimal Information Transport
published pages: 1718-1751, ISSN: 1936-4954, DOI: 10.1137/151006238
SIAM Journal on Imaging Sciences 8/3 2019-07-24
2016 S. Larsson, T. Matsuo, K. Modin, M. Molteni
Discrete Variational Derivative Methods for the EPDiff Equation
published pages: , ISSN: , DOI:
Preprint (currently inder peer-review) 2019-07-24

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