Explore the words cloud of the SUCCESS project. It provides you a very rough idea of what is the project "SUCCESS" about.
The following table provides information about the project.
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
|Coordinator Country||France [FR]|
|Total cost||185˙076 €|
|EC max contribution||185˙076 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-05-01 to 2018-04-30|
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|1||CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS||FR (PARIS)||coordinator||185˙076.00|
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.
|year||authors and title||journal||last update|
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|
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|
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|
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|
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
Juan F P J Abascal, Nicolas Ducros, Simon Rit, FranÃ§oise 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|
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 (ISBIâ€™18)||2019-06-13|
Nicolas Ducros, Juan Felipe Perez-Juste Abascal, Bruno Sixou, Simon Rit, FranÃ§oise 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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The information about "SUCCESS" are provided by the European Opendata Portal: CORDIS opendata.
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