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SUMMARY

Homepage of SUCCESS, a EU-H2020 Marie Skłodowska-Curie fellowship project to carry out research on the new generation of Spectral Computerized Tomography - the so-called 'colour X-ray scanners.

This research bridges innovative theoretical findings in reconstruction algorithms (exploiting sparsity promoting priors) and practice, with the latest experimental hardware developments based on photon counting detectors and high potential clinical applications.

LATEST RESEARCH

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Spectral CT virtual mono-energetic images allows directly visualization of cartilage and bone damage, relevant for knee osteoarthritis

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A transfer deep learning approach to learn the detector response function from few datasets

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A Sim2Real transfer learning approach for spectral CT data when a ground truth is not available, applied to human thorax data

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A novel prior-image based residual net for 3D image denoising

Regularization of Nonlinear Decomposition of Spectral X-ray Projection Images

Study of non-convexity and nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance

PAST EVENTS AND NEWS

Philips installs a first prototype of spectral CT scanner with photon counting technology at CERMEP, Lyon. May 2015

CREATIS (CNRS UMR 5220 – INSERM U1206 – Université Lyon 1 – INSA Lyon - Université Jean Monnet Saint-Etienne)

2016 Villeurbanne, France

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We are granted beam time at the European Synchrotron Radiation Facility (ESRF) to compare spectral CT to synchrotron CT, which provides an energy-based ground truth

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This work leads to the ANR SALTO Project (ANR-17-CE19-0011-01) that aims at assessing spectral CT for early detection of osteoarthritis

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