Компьютерная оптика (Oct 2023)

Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography

  • S.I. Samarin,
  • A.B. Konovalov,
  • V.V. Vlasov,
  • I.D. Solovyev,
  • A.P. Savitsky,
  • V.V. Tuchin

DOI
https://doi.org/10.18287/2412-6179-CO-1295
Journal volume & issue
Vol. 47, no. 5
pp. 673 – 690

Abstract

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The paper describes a TurbidMC code that implements a perturbative Monte Carlo method to model temporal point spread functions and sensitivity functions for time-resolved fluorescence molecular tomography (FMT). The code is aimed at working with a particular FMT method published earlier (Ref. [22]) which defines the specificity of sensitivity function calculation. The method solves the inverse problem first for a generalized fluorescence parameter distribution function and then calculates separate distributions for the fluorophore absorption coefficient and the fluorescence lifetime. The proper operation of the code was verified through a comparison between fluorescence temporal point spread functions from test calculations and data from experiments where a phantom with a fluorophore was scanned with a three-channel probe in the mesoscopic reflectance regime. An example is given on the reconstruction of fluorescence parameter distributions. It shows that the sensitivity functions are calculated correctly.

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