Advances in Reconstruction Algorithms for Diffuse Correlation Spectroscopy and Tomography

Abstract

Diffuse correlation spectroscopy and tomography (DCS and DCT) are emerging technologies used to noninvasive measurement or imaging of the blood flow index (BFI) at the microvasculature level. For both technologies, the reconstruction algorithm contributes greatly to the accuracy and robustness of BFI values as well as the detective sensitivity of diagnostic outcomes. In this article, we extensively reviewed the DCS/DCT reconstruction algorithms developed historically for extracting the BFI values and discussed their advantages/disadvantages. Furthermore, the DCS/DCT progress made in recent years to account for the tissue irregular geometry and heterogeneity is analyzed, and, through a computer simulation, we compared the performance of conventional and advanced algorithm in reconstruction of BFI values in human head. Finally, the future prospective of the DCS/DCT reconstruction algorithm and clinical implications are discussed.