Investigation of an adaptive regularization parameter selection methodin bioluminescence tomography

The regularization parameter plays a critical role in recovering bioluminescent source for regularization based reconstruction methods. To date, the regularization parameter is usually selected either through the empirical choice or prior experience of the user. Therefore, it is highly desirable to develop a methodology to adaptively determine the regularization parameter. In the paper, a deterministic algorithm for the selection of a regularization parameter has been applied for the first time to bioluminescence tomography (BLT). To improve the performance of the algorithm, a warm start strategy is introduced. Numerical experiments were performed to access the effectiveness of the proposed method.