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SUCCESS SIGNED

High quality spectral CT using sparse reconstruction methods

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Project "SUCCESS" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Project website http://juanabascal78.wixsite.com/success
 Total cost 185˙076 €
 EC max contribution 185˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2018-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 185˙076.00

Map

 Project objective

The new generations of spectral computed tomography (CT) scanners provide energy-dependent information that could translate into higher contrast and material decomposition capabilities, among other benefits, not only improving conventional CT but opening new possibilities for medical diagnosis. However, fast development of spectral CT technology is not flawless. Narrow energy bins are required to achieve the desired energy resolution, which increases the noise ratio per energy bin. A promising solution is to use sparse CT reconstruction methods (SRM) to improve image quality without increasing radiation dose. To date, several SRMs have been proposed based on simulated or phantom data, but only a few studies have considered preclinical or clinical data. The objective of this proposal is to provide and optimize new algorithms for spectral CT that will be designed and validated on experimental data targeting specific high-impact high-potential applications. To this aim, the project will evaluate previously suggested SRMs and propose new SRMs. In addition, the project will introduce a novel method to validate SRM for spectral CT. On the last stage, the developed SRMs will be validated using experimental data from several spectral CT scanners. This research will contribute to the development of spectral CT, which is foreseen as a new revolution in clinical diagnosis.

 Publications

year authors and title journal last update
List of publications.
2017 Juan F. P. J. Abascal, Manuel Desco, Juan Parra-Robles
Incorporation of prior knowledge of signal behavior into the reconstruction to accelerate the acquisition of diffusion MRI data
published pages: 1-1, ISSN: 0278-0062, DOI: 10.1109/TMI.2017.2765281
IEEE Transactions on Medical Imaging 2019-06-13
2016 Desco, Manuel; Soleimani, Manuchehr; PEREZ JUSTE ABASCAL, Juan Felipe; Li, Fang
Total variation regularization with Split Bregman based method in magnetic induction tomography using experimental data
published pages: 976 - 985, ISSN: 1530-437X, DOI: 10.1109/JSEN.2016.2637411
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2016, 17 (4), pp.976-985. <10.1109/JSEN.2016.2637411> 2 2019-06-13
2016 E Al Hosani, M Zhang, J F P J Abascal and M Soleimani
Imaging metallic samples using electrical capacitance tomography: forward modelling and reconstruction algorithms
published pages: , ISSN: 0957-0233, DOI: 10.1088/0957-0233/27/11/115402
Measurement Science and Technology 2019-06-13
2018 Carl Chittenden, Juan FPJ Abascal, Manuchehr Soleimani
Automatic Parameter Selection of Image Reconstruction Algorithms for Planar Array Capacitive Imaging
published pages: , ISSN: 1530-437X, DOI: 10.1109/JSEN.2018.2844549
IEEE Sensors Journal 2019-06-13
2018 Bo Chen, Juan F. P. J. Abascal and Manuchehr Soleimani
Electrical Resistance Tomography for Visualization of Moving Objects Using a Spatiotemporal Total Variation Regularization Algorithm
published pages: 1704, ISSN: 1424-8220, DOI: 10.3390/s18061704
Sensors 18 2019-06-13
2017 Juan F P J Abascal, Nicolas Ducros, Simon Rit, Françoise Peyrin
Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance
published pages: , ISSN: , DOI:
IMA Conference on Inverse Problems from Theory to Application 2019-06-13
2018 C. Goubet, M. Langer, F. Peyrin, J. F. P. J. Abascal
LOW-DOSE SYNCHROTRON NANO-CT VIA COMPRESSED SENSING
published pages: , ISSN: , DOI:
The International Symposium on Biomedical Imaging (ISBI’18) 2019-06-13
2017 Nicolas Ducros, Juan Felipe Perez-Juste Abascal, Bruno Sixou, Simon Rit, Françoise Peyrin
Regularization of nonlinear decomposition of spectral x-ray projection images
published pages: e174-e187, ISSN: 0094-2405, DOI: 10.1002/mp.12283
Medical Physics 44/9 2019-06-13

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