Objective. Blood flow is one such available observable promoting a wealth of physiological
insight both individually and in combination with other metrics. Approach. Near-infrared …

Near infrared spectroscopy (NIRS) utilizes intrinsic optical absorption signals of blood,
water, and lipid concentration available in the NIR window (600–1000 nm) as well as a …

We present three-dimensional (3D) in vivo images of human breast cancer based on
fluorescence diffuse optical tomography (FDOT). To our knowledge, this work represents the …

Monitoring of human tissue hemodynamics is invaluable in clinics as the proper blood flow
regulates cellular-level metabolism. Time-domain diffuse correlation spectroscopy (TD-DCS) …

In this study we evaluate the influences of optical property assumptions on near-infrared
diffuse correlation spectroscopy (DCS) flow index measurements. The optical properties …

Photodynamic therapy (PDT) requires oxygen to cause cellular and vascular tumor damage.
Tissue oxygen concentration, in turn, is influenced by blood flow and blood oxygenation …

Diffuse correlation spectroscopy (DCS) is an emerging noninvasive technique that probes
the deep tissue blood flow, by using the time-averaged intensity autocorrelation function of …

Near-infrared (NIR) optical imaging is a non-invasive and non-ionizing modality that is
emerging as a diagnostic/prognostic tool for breast cancer and other applications related to …

We use diffuse optical tomography to quantitatively reconstruct images of complex phantoms
with millimeter sized features located centimeters deep within a highly-scattering medium. A …

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 …