Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography

19 Feb 2020 Strauss Thilo Ahmad Sanwar Khan Taufiquar

In this paper, we formulate the reconstruction problem in diffuse optical tomography (DOT) in a statistical setting for determining the optical parameters, scattering and absorption, from boundary photon density measurements. A special kind of adaptive Metropolis algorithm for the reconstruction procedure using sparsity and total variation prior is presented... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • NUMERICAL ANALYSIS
  • NUMERICAL ANALYSIS
  • IMAGE AND VIDEO PROCESSING