  Fluorescence molecular tomography (FMT) is a promising modality for
non-invasive imaging of internal fluorescence agents in biological tissues
especially in small animal models, with applications in diagnosis, therapy, and
drug design. In this paper, we present a new fluorescent reconstruction
algorithm that combines time-resolved fluorescence imaging data with
photon-counting micro-CT (PCMCT) images to estimate the quantum yield and
lifetime of fluorescent markers in a mouse model. By incorporating PCMCT
images, a permissible region of interest of fluorescence yield and lifetime can
be roughly estimated as prior knowledge, reducing the number of unknown
variables in the inverse problem and improving image reconstruction stability.
Our numerical simulation results demonstrate the accuracy and stability of this
method in the presence of data noise, with an average relative error of 18% in
fluorescent yield and lifetime reconstruction.
