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A New Coupled Complex BoundaryMethod for Bioluminescence Tomography

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摘要 In this paper,we introduce and study a new method for solving inverse source problems,through aworkingmodel that arises in bioluminescence tomography(BLT).In the BLT problem,one constructs quantitatively the bioluminescence source distribution inside a small animal from optical signals detected on the animal’s body surface.The BLT problem possesses strong ill-posedness and often the Tikhonov regularization is used to obtain stable approximate solutions.In conventional Tikhonov regularization,it is crucial to choose a proper regularization parameter for trade off between the accuracy and stability of approximate solutions.The new method is based on a combination of the boundary condition and the boundary measurement in a parameter-dependent single complex Robin boundary condition,followed by the Tikhonov regularization.By properly adjusting the parameter in the Robin boundary condition,we achieve two important properties for our new method:first,the regularized solutions are uniformly stable with respect to the regularization parameter so that the regularization parameter can be chosen based solely on the consideration of the solution accuracy;second,the convergence order of the regularized solutions reaches one with respect to the noise level.Then,the finite element method is used to compute numerical solutions and a newfinite element error estimate is derived for discrete solutions.These results improve related results found in the existing literature.Several numerical examples are provided to illustrate the theoretical results.
出处 《Communications in Computational Physics》 SCIE 2016年第1期226-250,共25页 计算物理通讯(英文)
基金 The work of the first author was supported by the Natural Science Foundation of China(Grant No.11401304) the Natural Science Foundation of Jiangsu Province(Grant No.BK20130780) the Fundamental Research Funds for the Central Universities(Grant No.NS2014078) The work of the second author was sup-ported by the Key Project of the Major Research Plan of NSFC(Grant No.91130004) The work of the third author was partially supported by NSF(Grant No.DMS-1521684)and Simons Foundation(Grant No.207052 and 228187).
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