Share Email Print

Proceedings Paper

Iterative reconstruction for bioluminescence tomography with total variation regularization
Author(s): Wenma Jin; Yonghong He
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Bioluminescence tomography(BLT) is an instrumental molecular imaging modality designed for the 3D location and quantification of bioluminescent sources distribution in vivo. In our context, the diffusion approximation(DA) to radiative transfer equation(RTE) is utilized to model the forward process of light propagation. Mathematically, the solution uniqueness does not hold for DA-based BLT which is an inverse source problem of partial differential equations and hence is highly ill-posed. In the current work, we concentrate on a general regularization framework for BLT with Bregman distance as data fidelity and total variation(TV) as regularization. Two specializations of the Bregman distance, the least squares(LS) distance and Kullback-Leibler(KL) divergence, which correspond to the Gaussian and Poisson environments respectively, are demonstrated and the resulting regularization problems are denoted as LS+TV and KL+TV. Based on the constrained Landweber(CL) scheme and expectation maximization(EM) algorithm for BLT, iterative algorithms for the LS+TV and KL+TV problems in the context of BLT are developed, which are denoted as CL-TV and EM-TV respectively. They are both essentially gradient-based algorithms alternatingly performing the standard CL or EM iteration step and the TV correction step which requires the solution of a weighted ROF model. Chambolle’s duality-based approach is adapted and extended to solving the weighted ROF subproblem. Numerical experiments for a 3D heterogeneous mouse phantom are carried out and preliminary results are reported to verify and evaluate the proposed algorithms. It is found that for piecewise-constant sources both CL-TV and EM-TV outperform the conventional CL and EM algorithms for BLT.

Paper Details

Date Published: 11 December 2012
PDF: 13 pages
Proc. SPIE 8553, Optics in Health Care and Biomedical Optics V, 855333 (11 December 2012); doi: 10.1117/12.999285
Show Author Affiliations
Wenma Jin, Peking Univ. (China)
Yonghong He, Beijing Aerospace Control Ctr. (China)

Published in SPIE Proceedings Vol. 8553:
Optics in Health Care and Biomedical Optics V
Qingming Luo; Ying Gu; Xingde D. Li, Editor(s)

© SPIE. Terms of Use
Back to Top