As　a　novel　optical　molecular　imaging　technique,　bioluminescence　tomography　(BLT)　can　be　used　to　monitor　the　biological　activities　non-invasively　at　the　cellular　and　molecular　levels.　In　most　of　known　BLT　studies,　however,　the　time　variation　of　the　bioluminescent　source　is　neglected.　It　gives　rise　to　the　inconsistent　views　during　the　multiview　continuous　wave　measurement.　In　other　words,　the　real　measured　data　from　different　measured　views　come　from　＇different＇　bioluminescent　sources.　It　could　bring　large　errors　in　bioluminescence　reconstruction.　In　this　paper,　a　posteriori　correction　strategy　for　adaptive　FEM-based　reconstruction　is　proposed　and　developed.　The　method　helps　to　improve　the　source　localization　considering　the　bioluminescent　energy　variance　during　the　multiview　measurement.　In　the　method,　the　correction　for　boundary　signals　by　means　of　a　posteriori　correction　strategy,　which　adopts　the　energy　ratio　of　measured　data　in　the　overlapping　domains　between　the　adjacent　measurements　as　the　correcting　factor,　can　eliminate　the　effect　of　the　inconsistent　views.　Then　the　adaptive　mesh　refinement　with　a　posteriori　error　estimation　helps　to　improve　the　precision　and　efficiency　of　BLT　reconstruction.　In　addition,　a　priori　permissible　source　region　selection　based　on　the　surface　measured　data　further　reduces　the　ill-posedness　of　BLT　and　enhances　numerical　stability.　Finally,　three-dimension　numerical　simulations　using　the　heterogeneous　phantom　are　performed.　The　numerically　measured　data　is　generated　by　Monte　Carlo　(MC)　method　which　is　known　as　the　Gold　standard　and　can　avoid　the　inverse　crime.　The　reconstructed　result　with　correction　shows　more　accuracy　compared　to　that　without　correction.　©　2009　SPIE.