Training with Continuous Sensor System Parameters and Irregular Data

Prof. Dr. Michael Moeller, Susim Mukul Roy, Alexander Aurus, Hendrik Sommerhoff
Last updated on Nov 29, 2023

Summary

  • Modelling of noise for CT simulations(e.g. Poisson-noise)by considering spatially non-uniform intensity distributions and in limited dosage environments(ULDCT).
  • Create a pattern so that the intensity distribution becomes learnable.
  • Apply an appropriate reconstruction technique which takes care of artifacts or likely noise patterns and generates back the original image which has high metric values when compared with ssim etc.
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