IMAGeS team: IMages, leArning, Geometry and Statistics

TIBM: Data reconstruction

From IMAGeS team: IMages, leArning, Geometry and Statistics
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This research topic concerns the reconstruction of images from raw data acquired with various imaging system. The contributions in this area were mainly realized through the project ERC FBrain for the reconstruction of fetal MRI, through the ANR Rhodes for the three-dimensional tomographic reconstruction of macromolecules in cryo-electron microscopy (cryo-EM) and through works related to data inversion from polarimetric imaging.

  • The main problem encountered for tomographic reconstruction in cryo-EM is related to the fact that the projection angles are unknown and that images have a very low signal to noise ratio. To address this problem, a method for jointly estimating volume and angles of projections has been proposed 4-FDNF13, 4-BBF15, 4-PBMT15, and methods for estimating projection parameters based on reduction dimension techniques 4-RBNM16 or moments 2-PBMT16 were developed.
  • Concerning fetal MRI reconstruction, the objective is to reconstruct a 3D high resolution MRI volume from a set of images acquired with ultra-fast 2D sequences while correcting movements of the fetus as well as artifacts in intensity, either in morphological imaging 2-KHRS11 or in diffusion weighted imaging OKSD12 OKSD12-2, 2-FSKC14.
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PhD theses


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