The solution of the forward problem in fluorescence molecular imaging strongly influences
the successful convergence of the fluorophore reconstruction. The most common approach …

During the last few years a quite large number of fluorescence molecular imaging
applications have been reported in the literature, as one of the most challenging aspects in …

The path-history-based fluorescence Monte Carlo method used for fluorescence
tomography imaging reconstruction has attracted increasing attention. In this paper, we first …

To quantify fluorescence imaging of biological tissues, we need to solve an inverse problem
for the coupled radiative transfer equations which describe the excitation and emission fields …

We present a decoupled fluorescence Monte Carlo (dfMC) model for the direct computation
of the fluorescence in turbid media. By decoupling the excitation-to-emission conversion and …

Molecular imaging (MI) is a novel imaging discipline that has been continuously developed
in recent years. It combines biochemistry, multimodal imaging, biomathematics …

A new reconstruction algorithm for fluorescence diffuse optical tomography of biological
tissues is proposed. The radiative transport equation in the frequency domain is used to …

We present the first fluorescence tomography algorithm that is based on a partial differential
equation (PDE) constrained approach. PDE methods have been increasingly employed in …

Fluorescence molecular tomography (FMT) is an important imaging technique of optical
imaging. The major challenge of the reconstruction method for FMT is the ill-posed and …

In conventional fluorescence molecular tomography, the distribution of fluorescent contrast
agents is reconstructed with the assumption of constant concentration during data …