We present a full three-dimensional,featured-data algorithm for time-domain fluorescence diffuse optical tomography that inverts the Laplace-transformed time-domain coupled diffusion equations and employs a pair of appropriate transform-factors to effectively separate the fluorescent yield and lifetime parameters. By use of a time-correlation single-photon counting system and the normalized Born formulation,we ex- perimentally validate that the proposed scheme can achieve simultaneous reconstruction of the fluorescent yield and lifetime distributions with a reasonable accuracy.
Reconstruction of absorption coefficientμ_a and scattering coefficientμ_a is very important for applications of diffuse optical tomography and near infrared spectroscopy.Aiming at the early cancer detection of cervix and stomach,we present a fast inverse Monte-Carlo scheme for extractingμ_a andμ_s of a tubular tissue from the measurement on frequency domain.Results show that the computation time for reconstructing one set ofμ_a andμ_s is less than 1 min and the relative errors in reconstruction are less than±10% for the optical properties of normal cervical tissue and precancerous lesions.