Emerging fluorescence and bioluminescence tomography approaches have several
common, yet several distinct features from established emission tomographies of PET and …

As a high-sensitivity and non-invasive technique, optical molecular tomography (OMT) can
locate and visualize tissue quantitatively in three dimensions by collecting surface photons …

Although open databases are an important resource in the current deep learning (DL) era,
they are sometimes used “off label”: Data published for one task are used to train algorithms …

We demonstrate the use of a compressive sampling algorithm for on-chip fluorescent
imaging of sparse objects over an ultra-large field-of-view (> 8 cm^ 2) without the need for …

Bioluminescence tomography (BLT) is an effective noninvasive molecular imaging modality
for in vivo tumor research in small animals. However, the quality of BLT reconstruction is …

In this paper, we present an incomplete variables truncated conjugate gradient (IVTCG)
method for bioluminescence tomography (BLT). Considering the sparse characteristic of the …

Through the reconstruction of the fluorescent probe distributions, fluorescence molecular
tomography (FMT) can three-dimensionally resolve the molecular processes in small …

In this paper we study an l1-regularized multilevel approach for bioluminescence
tomography based on radiative transfer equation with the emphasis on improving imaging …

Bioluminescence tomography (BLT) is a powerful non-invasive molecular imaging tool for in
vivo studies of glioma in mice. However, because of the light scattering and resulted ill …

An lp (0< p≤ 1) sparsity regularization is applied to time-domain diffuse optical tomography
with a gradient-based nonlinear optimization scheme to improve the spatial resolution and …