A　tomographic　reconstruction　algorithm　for　Cherenkov-excited　luminescence　scanned　imaging　(CELSI)　is　proposed　and　demonstrated　for　the　first　time,　to　reconstruct　distributions　of　luminescent　source.　Coupled　continuous　wave　(CW)　diffusion　equations　are　used　to　model　luminescent　photon　propagation　in　biological　tissues.　The　CELSI　reconstruction　was　achieved　by　minimizing　the　difference　between　measured　and　computed　data　based　on　Tikhonov　regularization　technique.　The　feasibility　and　effectiveness　of　the　algorithm　were　tested　with　numerical　simulations　on　noisy　data.　In　addition,　comparisons　between　conventional　diffuse　optical　fluorescence　tomography　(DOFT)　and　CELSI　were　also　performed.　Contrast-detail　analysis　was　also　used　to　evaluate　the　imaging　performance　of　CELSI.