Hyperspectral and multispectral bioluminescence optical tomography for small animal imaging

Abstract

Inverse source reconstruction is the most challenging aspect of bioluminescence tomography (BLT) because of its ill-posedness. Although many efforts have been devoted to this problem, so far, there is no generally accepted method. Due to the ill-posedness property of the BLT inverse problem, the regularization method plays an important role in the inverse reconstruction. In this paper, six reconstruction algorithms based on l p regularization are surveyed. The effects of the permissible source region, measurement noise, optical properties, tissue specificity and source locations on the performance of the reconstruction algorithms are investigated using a series of single source experiments. In order to further inspect the performance of the reconstruction algorithms, we present the double sources and the in vivo mouse experiments to study their resolution ability and potential for a practical heterogeneous mouse experiment. It is hoped to provide useful guidance on algorithm development and application in the related fields.

Migration, fate and in vivo imaging of adult stem cells in the CNS

“…Several techniques for in vivo cellular imaging are now available that allow the characterization of transplanted cells in the living organism, including magnetic resonance imaging (MRI), 23 bioluminescence, 24 positron emission tomography 25 and multiple photon microscopy. 26 All of these imaging methods, based on different principles, provide distinctive, usually complementary information.…”

Methods in diffuse optical imaging

“…By considering the decomposition 17) where K (i) is the discretization of the potential operator V i representing the perturbation b i (r), we can use the properties of matrix inverses to see that 18) where U * is the adjoint field resulting from the back-propagation of the measurement operator. The term on the right in equation (2.18) forms the matrix elements of the discrete representation of the first term in the Born series; the representation for other series is obtained by transformation as before.…”

“…The idea of using multiple wavelengths in bioluminescence imaging was introduced by Chaudhari et al [17]. Combination of bioluminescence and positron emission tomography is discussed in Alexandraxis et al [18].…”

Spectral distortion in diffuse molecular luminescence tomography in turbid media

“…It is reasonable to postulate that this information can be exploited to improve tomographic fluorescence imaging in vivo, presuming spatial distributions of tissue chromophore concentrations are known a priori and the measured emission spectrum contains insignificant background signal. Similar approaches have been used in bioluminescence imaging of small animals 43,44 and may easily be adapted to fluorescence image reconstruction.…”