Abstract
Near-infrared diffuse correlation imaging (DCT) is an important method of tissue blood flow imaging for the prognosis and diagnosis of various diseases. A new solution of DCT that is based on the $N$ th-order linear (NL) algorithm, termed as NL-DCT, was proposed in our previous study to overcome the limitations of tissue geometry and heterogeneity. The NL-DCT converts the image reconstruction into linear equations, and this solution is an ill-posed problem in mathematics. To improve the accuracy and robustness of the DCT image reconstruction, a combination of algebra reconstruction technique (ART) and total variation (TV), namely ART-TV, is proposed in this study. After each ART iteration, the TV model is used as an a priori constraint to reduce noise. The validations from computer simulation and phantom experiments with different anomalies demonstrate that the proposed ART-TV algorithm is efficient in DCT blood flow image reconstruction.
Highlights
Near-infrared diffuse optical spectroscopy/tomography (DOS/DOT) and diffuse correlation spectroscopy (DCS) have been developed and validated for noninvasive probing of a variety of in-vivo tissues [1]
We proposed a new diffuse correlation tomography (DCT) solution based on the N th-order linear (NL) algorithm in our previous study [19]
The flow images reconstructed by the proposed algebra reconstruction technique (ART)-Total Variation (TV) algorithm were shown
Summary
Near-infrared diffuse optical spectroscopy/tomography (DOS/DOT) and diffuse correlation spectroscopy (DCS) have been developed and validated for noninvasive probing of a variety of in-vivo tissues [1]. DCS, in particular, can continuously monitor the movements of red blood cells in biological tissues. From the light electric temporal autocorrelation function (g1(τ )), a blood flow index (BFI) is obtained. BFI is an important dynamic indicator for prognosis and diagnosis of various diseases [2]–[5], since the diseases-related functional changes of the tissue can be reflected from the changes of blood oxygenation and the blood flow [6]–[8]. DCS enables real-time probing of the BFI changes, but it fails to provide spatial variation of blood flow. Diffuse correlation tomography (DCT) began to emerge and attracted more attention [9]–[13]
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