Framework for denoising Monte Carlo photon transport simulations using deep learning.

Journal: Journal of biomedical optics
Published Date:

Abstract

SIGNIFICANCE: The Monte Carlo (MC) method is widely used as the gold-standard for modeling light propagation inside turbid media, such as human tissues, but combating its inherent stochastic noise requires one to simulate a large number photons, resulting in high computational burdens.

Authors

  • Matin Raayai Ardakani
    Northeastern Univ., United States.
  • Leiming Yu
    Analogic Corp., United States.
  • David Kaeli
    Northeastern Univ., United States.
  • Qianqian Fang
    Northeastern Univ., United States.