With the development of charge-coupled device (CCD) camera based non-contact fluorescence molecular tomography (FMT) imaging systems, multi projections and densely sampled fluorescent measurements used in subsequent image reconstruction can be easily obtained. However, challenges still remain in fast image reconstruction because of the large computational burden and memory requirement in the inverse problem. In this work, an accelerated image reconstruction method in FMT using principal components analysis (PCA) is presented to reduce the dimension of the inverse problem. Phantom experiments are performed to verify the feasibility of the proposed method. The results demonstrate that the proposed method can accelerate image reconstruction in FMT almost without quality degradation.
Keywords: (100.3190) Inverse problems; (170.3010) Image reconstruction techniques; (170.3660) Light propagation in tissues; (170.3880) Medical and biological imaging; (170.6960) Tomography; (290.1990) Diffusion; (290.7050) Turbid media.