Image formation in fluorescence diffuse optical tomography is critically dependent on
construction of the Jacobian matrix. For clinical and preclinical applications, because of the …

In fluorescence diffuse optical tomography (fDOT), the accuracy of reconstructed
fluorescence distributions highly depends on the knowledge of the tissue optical …

Diffuse optical tomography using perturbation Monte Carlo method can overcome the
drawback inherent to the classical model based on the diffusion equation for pre-clinical …

Reconstruction algorithms for imaging fluorescence in near infrared ranges usually
normalize fluorescence light with respect to excitation light. Using this approach, we …

The common approach in fluorescence molecular tomography (FMT) assumes
homogeneous distributions of the optical properties and normally results in reconstructions …

We present an algorithm using data acquired with a time-resolved system with the goal of
reconstructing sources of fluorescence emanating from the deep interior of highly scattering …

An image reconstruction scheme for time-domain fluorescence diffuse optical tomography is
proposed using a reflection-mode for a semi-infinite turbid geometry. The method is based …

We propose a new reconstruction algorithm for fluorescence diffuse optical tomography,
which is designed for highly heterogeneous objects, such as biological tissues. It is a two …

We obtain absorption and scattering reconstructed images by incorporating a priori
information of target location obtained from fluorescence diffuse optical tomography (FDOT) …

We propose a new reconstruction algorithm for fluorescence diffuse optical tomography,
which is designed for highly heterogeneous objects, such as biological tissues. It is a two …