LIFEINVERSE

Variational Methods for Dynamic Inverse Problems in the Life Sciences

Coordinatore	WESTFAELISCHE WILHELMS-UNIVERSITAET MUENSTER    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Germany [DE]
Totale costo	966˙400 €
EC contributo	966˙400 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2013-CoG
Funding Scheme	ERC-CG
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-03-01   -   2019-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	WESTFAELISCHE WILHELMS-UNIVERSITAET MUENSTER  Organization address address: SCHLOSSPLATZ 2 city: MUENSTER postcode: 48149 contact info Titolo: Dr. Nome: Katharina Cognome: Steinberg Email: send email Telefono: +49 2518322151	DE (MUENSTER)	hostInstitution	966˙400.00
2	WESTFAELISCHE WILHELMS-UNIVERSITAET MUENSTER  Organization address address: SCHLOSSPLATZ 2 city: MUENSTER postcode: 48149 contact info Titolo: Prof. Nome: Martin Cognome: Burger Email: send email Telefono: +0049 2518333793 Fax: +0049 25183	DE (MUENSTER)	hostInstitution	966˙400.00

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 Obiettivo del progetto (Objective)

'This project will develop novel techniques for solving inverse problems in life sciences, in particular related to dynamic imaging. Major challenges in this area are efficient four- dimensional image reconstruction under low SNR conditions and further the quantification of image series as obtained from molecular imaging or life microscopy techniques. We will tackle both of them in a rather unified framework as inverse problems for time-dependent (systems of) partial differential equations. In the solution of these inverse problems we will investigate novel approaches for the following aspects specific to the above-mentioned problems in the life sciences:

1. Solution of inverse problems for PDEs in complex time-varying geometries 2. Development of appropriate variational regularization models for dynamic images, including noise and motion models 3. Improved forward and inverse modelling of cellular and intracellular dynamics leading to novel inverse problems for nonlinear partial differential equations 4. Construction and implementation of efficient iterative solution methods for the arising 4D inverse problems and their variational formulation

All tasks will be driven by concrete applications in biology and medicine and their success will be evaluated in applications to real problems and data. This is based on interdisciplinary work related to electrocardiology and developmental biology. The overall development of methods will however be carried out in a flexible and modular way, so that they become accessible for larger problem classes.'