Multimodal approaches that combine near-infrared (NIR) and conventional imaging
modalities have been shown to improve optical parameter estimation dramatically and thus …

Significance: Quantitative optoacoustic imaging (QOAI) continues to be a challenge due to
the influence of nonlinear optical fluence distribution, which distorts the optoacoustic image …

This compendium review focuses on the spatial distribution of sensitivity to localized
absorption changes in optically diffuse media, particularly for measurements relevant to near …

Significance: By incorporating multiple overlap** functional near-infrared spectroscopy
(fNIRS) measurements, high-density diffuse optical tomography (HD-DOT) images human …

A spatially weighted filter applied to both the measurement and the Jacobian is proposed for
high-density diffuse correlation tomography (DCT) to remove unwanted extracerebral …

A computationally simpler algorithm to reconstruct the optical property distribution of turbid
media using diffuse optical tomographic principles is presented. The proposed algorithm …

Real-time imaging of human brain has become an important technique within neuroimaging.
In this study, a fast and efficient sensitivity map generation based on Finite Element Models …

Limited‐projection fluorescence molecular tomography (FMT) has short data acquisition
time that allows fast resolving of the three‐dimensional visualization of fluorophore within …

Functional brain imaging has become an important neuroimaging technique for the study of
brain organization and development. Compared to other imaging techniques, diffuse optical …

Purpose: A computationally efficient algorithm (linear iterative type) based on singular value
decomposition (SVD) of the Jacobian has been developed that can be used in rapid …