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DTI4micro SIGNED

Quantitative characterization of cardiac tissue microstructure from Diffusion Tensor Imaging

Total Cost €

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EC-Contrib. €

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Partnership

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Project "DTI4micro" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

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 United Kingdom [UK]
 Project website http://www.ibme.ox.ac.uk/research/biomedia/people/dr-ernesto-zacur
 Total cost 195˙454 €
 EC max contribution 195˙454 € (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 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 195˙454.00

Map

 Project objective

Cardiac Ventricular Remodelling (VR), i.e. the alteration of tissue microstructure that is a hallmark of several cardiac diseases, can have profound effects on cardiac function. A novel imaging technique, Diffusion Tensor Imaging (DTI) offers the potential to quantify VR in vivo and could thus have a significant impact on the assessment and treatment of cardiac disease. This project proposes the development of advanced analytical tools to evaluate its usability in the quantitative characterization of cardiac microstructure. The tools developed will aim at a) providing a mathematical description of normality in cardiac microstructure; and b) analysing local variation as an alternative descriptor for remodelling. A combination of preclinical and clinical validation will be performed, with histological slices used as ground truth for the identification of microstructural features. Emphasis will be placed on the development and application of a rigorous mathematical framework for the processing of tensor fields, including the quantification of local differences between tensors and the construction of statistical models for the quantification of pathology. The project joins an early researcher with extensive expertise in the statistical analysis of manifold-value data and its uses in medical imaging with an internationally recognized group in the analysis of cardiac microstructure and its links to electromechanical function. The host group has a network of collaborators including all relevant areas, from MRI physics to cardiac physiology. The program also includes the provision of further training opportunities for the applicant in different aspects from student supervision to preparation of research proposals, representing a unique opportunity for his development as an independent researcher.

 Publications

year authors and title journal last update
List of publications.
2016 Sara Dutta, Ana Mincholé, Ernesto Zacur, T. Alexander Quinn, Peter Taggart, Blanca Rodriguez
Early afterdepolarizations promote transmural reentry in ischemic human ventricles with reduced repolarization reserve
published pages: 236-248, ISSN: 0079-6107, DOI: 10.1016/j.pbiomolbio.2016.01.008
Progress in Biophysics and Molecular Biology 120/1-3 2019-06-13
2017 Marta Varela, Felipe Bisbal, Ernesto Zacur, Antonio Berruezo, Oleg V. Aslanidi, Lluis Mont, Pablo Lamata
Novel Computational Analysis of Left Atrial Anatomy Improves Prediction of Atrial Fibrillation Recurrence after Ablation
published pages: , ISSN: 1664-042X, DOI: 10.3389/fphys.2017.00068
Frontiers in Physiology 8 2019-06-13
2018 Benjamin Villard, Vicente Grau, Ernesto Zacur
Surface Mesh Reconstruction from Cardiac MRI Contours
published pages: 16, ISSN: 2313-433X, DOI: 10.3390/jimaging4010016
Journal of Imaging 4/1 2019-06-13

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The information about "DTI4MICRO" are provided by the European Opendata Portal: CORDIS opendata.

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