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[00365] Advancing Computerized Tomography: Deep-Learning based Regularization in Diffuse Optical Tomography

  • Session Time & Room : 2D (Aug.22, 15:30-17:10) @E709
  • Type : Contributed Talk
  • Abstract : X-rays Computed Tomography is a main pillar of medical imaging which at present is experiencing a strong innovation phase. While new tomographic systems try to minimize X-rays exposure, non-trivial challenges exist, mainly increased noise levels and the need for dealing with low and high contrast regions. In this talk we will refer about our research on new algorithms able to efficiently deal with this trade–off, with specific reference to Diffuse Optical Tomography.
  • Classification : 65Z05, 65N20, 65N80, 68T07
  • Format : Talk at Waseda University
  • Author(s) :
    • Paola Causin (University of Milano )
    • Andrea Aspri (University of Milano )