Cherenkov-Excited　Luminescence　Scanned　Tomography　(CELST)　involves　a　system　of　coupled　continuous　wave-domain　diffusion　equations　for　modeling.　The　excitation　field　quantized　by　the　Complex　Cosine　(CC)　method　effectively　simulates　the　forward　light　process　in　these　equations.　However,　when　considering　x-ray-induced　Cherenkov　light　within　biological　tissue,　the　CC-based　excitation　field　lacks　precision,　instead　requires　the　use　of　stochastic　Monte　Carlo　(MC)　methods.　To　accurately　describe　the　radiation-induced　light　transport　in　biological　tissue　and　CELST　image　reconstruction,　in　this　paper,　we　develop　a　MC-based　method　for　CELST,　named　sheet　Monte　Carlo　(sMC).　Experiments　show　that　the　sMC　field　can　achieve　11.47　on　contrast-to-noise　ratio　(CNR)　and　0.74　on　Pearson　correlation　(PC),　while　7.25　and　0.57　for　the　CC　initialization　field　under　4%　noise　level.　Furthermore,　our　results　highlight　that　the　proposed　excitation　field　exhibits　superior　reconstruction　performance,　especially　when　dealing　with　low　ratios　of　fluorescent　targets.