The Reconstruction Research Axis deals with the development of novel methodologies for tomographic reconstruction in PET and CT. The objectives of this research are:

  • To develop models that can use the maximum amount of data available
  • To derive image reconstruction methodologies for these models.

Contact: alexandre dot bousse at univ-brest dot fr

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Multi-Spectral CT Reconstruction

  • Direct reconstruction of material decomposition images from raw multi-spectral CT data
  • CBCT image quality optimisation of CBCT images for radiotherapy and dosimetry

PET Reconstruction

  • New reconstruction algorithms for PET
  • Dynamic imaging
  • 3-γ image reconstruction.

Deep-Learning

  • Scatter estimation
  • Direct image reconstruction from projection data
  • Position estimation in detectors.

Our group is also the main contributor of the CASToR project.
http://www.castor-project.org/