In　this　paper,　we　explore　the　application　of　total　variation　regularization　method　for　bioluminescence　tomography　(BLT)　with　an　adaptive　regularization　parameter　choice　approach.　Since　BLT　is　a　seriously　ill-posed　problem,　therefore,　l2　regularized　methods　are　frequently　adopted　to　recover　the　bi-oluminescent　sources.　However,　l2　regularized　methods　typically　lead　to　smooth　reconstructions.　In　this　paper,　we　investigated　the　use　of　total　variation　(TV)　regularization　to　improve　the　quality　of　BLT　reconstruction.　Furthermore,　the　regularization　parameter　in　TV　method　was　chosen　adaptively　to　make　the　proposed　algorithm　more　stable.　Results　on　simulation　data　provide　evidence　that　the　reconstructed　source　can　be　localized　accurately　compared　with　l2　method.　Meanwhile,　the　effectiveness　of　utility　of　the　parameter　choice　were　illustrated.　Finally,　different　levels　of　noisy　data　were　added　to　validate　the　performance　of　the　proposed　algorithm.　©　2011　IEEE.