Fluorescence optical diffusion tomography.
A nonlinear, Bayesian optimization scheme is presented for reconstructing fluorescent yield and lifetime, the absorption coefficient, and the diffusion coefficient in turbid media, such as biological tissue. The method utilizes measurements at both the excitation and the emission wavelengths to reconstruct all unknown parameters. The effectiveness of the reconstruction algorithm is demonstrated by simulation and by application to experimental data from a tissue phantom containing the fluorescent agent Indocyanine Green.
Milstein
Adam B
AB
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907-1285, USA.
Oh
Seungseok
S
Webb
Kevin J
KJ
Bouman
Charles A
CA
Zhang
Quan
Q
Boas
David A
DA
Millane
R P
RP
D001499:Bayes Theorem; D001686:Biological Phenomena; D003198:Computer Simulation; D005453:Fluorescence; D008962:Models, Theoretical; D055095:Optics and Photonics; D019047:Phantoms, Imaging; D012542:Scattering, Radiation; D014054:Tomography