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We investigated (1) the variability of indocyanine green kinetics (ICG) between different cases in the existence of random noise, changing the size of the imaging region, the location and the size of the inclusion, (2) the use of structural a priori information to reduce the variability. We performed two-dimensional simulation studies for this purpose. In the simulations, we used a two-compartmental model to describe the ICG transport and obtained pharmacokinetic parameters. The transfer constant and the rate constant showed a wide variation, i.e. 60% and 95%, respectively, when random Gaussian noise with a standard deviation of 1% in amplitude and 0.4 degrees in phase was added to data. Moreover, recovered peak ICG concentration and time to reach the peak concentration was different within different cases. When structural a priori information was used in the reconstructions, the variations in the transfer and the rate constant were reduced to 29%, 15%, respectively. As a result, although the recovered peak concentration was still case dependent, the variability of the shape of the kinetic curve was reduced.

physics in medicine and biology/physics in medicine and biology

A simulation study of the variability of indocyanine green kinetics and using structural<i>a priori</i>information in dynamic contrast enhanced diffuse optical tomography (DCE-DOT)

A simulation study of the variability of indocyanine green kinetics and using structurala prioriinformation in dynamic contrast enhanced diffuse optical tomography (DCE-DOT)