An optimal permissible source region strategy for multispectral bioluminescence tomography

Abstract

Multispectral bioluminescence tomography (BLT) attracts increasing more attention in the area of small animal studies because multispectral data acquisition could help in the 3D location of bioluminescent sources. Generally, BLT problem is ill-posed and a priori information is indispensable to reconstruction bioluminescent source uniquely and quantitatively. In this paper, we propose a spectrally solved bioluminescence tomography algorithm with an optimal permissible source region strategy. Being the most different from earlier studies, an optimal permissible source region strategy which is automatically selected without human intervention is developed to reduce the ill-posedness of BLT and therefore improves the reconstruction quality. Furthermore, both numerical stability and computational efficiency benefit from the strategy. In the numerical experiments, a heterogeneous phantom is used to evaluate the proposed algorithm and the synthetic data is produced by Monte Carlo method for avoiding the inverse crime. The results demonstrate the feasibility and potential of our methodology for reconstructing the distribution of bioluminescent sources.

X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method

“…This ill-posed problem can be addressed by means of implicit regularization and skillful iterative methods like the algebraic reconstruction technique [13], unconstrained optimization methods based on l 2 -regularization [14] or l 1 -regularization [15] and even l p -regularization [16]. Meanwhile, the priori information such as the permissible region strategy [17] and multispectral method [18] are also commonly applied in optical imaging and have also been applied in XLCT [19]. Compared with these advanced methods, the methods based on Bregman iteration transform the optimization problem to an equivalent constrained problem with the concept of Bregman distance [20].…”

Resolving adjacent nanophosphors of different concentrations by excitation-based cone-beam X-ray luminescence tomography

“…Based on the imaging and reconstruction model, the distribution and concentration of the nanophosphors inside imaging object can be resolved. Compared with other optical molecular imaging such as bioluminescence tomography (BLT) [5][6][7] and fluorescence molecular tomography (FMT) [8][9][10], XLCT has several advantages with the use of X-rays. Firstly, X-ray can penetrate the imaging object easily and provide more information deep inside the object.…”

Performance evaluation of the simplified spherical harmonics approximation for cone-beam X-ray luminescence computed tomography imaging

“…Generally, these materials contain about 12 emission peaks (607, 615, 618, 620, 623, 627, 667, 692, 700, 703, 720 and 802 nm). [4][5][6][7][8][9] Compared with conventional pre-clinical molecular imaging techniques, i.e.,°uorescence molecular tomography (FMT) 10,11 and bioluminescence tomography (BLT), 12,13 the advantages of XLCT are manifested in the avoidance of a signi¯cant background noise and the ability of imaging deeper tissue. [3][4][5][6]9 XLCT imaging could be achieved either by the pencil-beam XLCT (PB-XLCT) 5 or the conebeam XLCT (CB-XLCT) methodologies.…”

“…The di®usion equations (DE), a loworder approximation of RTE, have been extensively used for three-dimensional (3D) optical imaging (e.g., BLT, FMT, and XLCT. [4][5][6][10][11][12][13] ) because of its computational e±ciency. However, DE is not applicable in tissues with low-scattering-low-absorption and low-scattering-high-absorption.…”