Diffuse Optical Tomography (DOT) is a promising non-invasive and relatively low-cost
biomedical image technology. The aim of DOT is to reconstruct optical properties of the …

We conducted a systematic investigation of the reflectance diffuse optical tomography using
continuous wave (CW) measurements and nonlinear reconstruction algorithms. We …

We proposed a deep learning model with physical constraints to reconstruct the absorption
coefficient distribution maps of the lesion inside the breast tissue. Simulation with realistic …

Widefield illumination and detection strategies leveraging structured light have enabled fast
and robust probing of tissue properties over large surface areas and volumes. However …

This investigation explores the feasibility of performing diffuse optical tomography based on
time-domain wide-field illumination and detection strategies. Wide-field patterned excitation …

Diffuse optical tomography (DOT) utilises near-infrared light for imaging spatially distributed
optical parameters, typically the absorption and scattering coefficients. The image …

Diffuse optical imaging is an emerging modality that uses Near Infrared (NIR) light to reveal
structural and functional information of deep biological tissue. It provides contrast …

Light scattering imposes a major obstacle for imaging objects seated deeply in turbid media,
such as biological tissues and foggy air. Diffuse optical tomography (DOT) tackles scattering …

A machine learning model with physical constraints (ML-PC) is introduced to perform diffuse
optical tomography (DOT) reconstruction. DOT reconstruction is an ill-posed and under …

Diffuse optical tomography (DOT) is an emerging non-invasive optical imaging technique,
which has a promising application in breast cancer detection and diagnosis. However, the …