Abstract—We study the performance of a diffuse optical tomography system using phase-correlated illumination, by analyzing the contribution from the real and imaginary parts of the data. After introducing the iterative reconstruction algorithm, which implements the Jacobian of the dual source system for data types real and the complex, we present results of reconstruction from such data types. It is shown through simulations, that the real part of the data, and to a lesser extent the magnitude leads to noise cancellation and improved localization and resolution of inhomogenity in the reconstruction. However, the imaginary part of the measurement data, increases the noise content of the reconstruction. The minimum size of the inhomogenity detect from phase-correlated data (real part) is 4 mm in diameter.

Index Terms—Diffuse optical tomography, Phased array, Jacobian, MoBIIR algorithm

Cite: Sabina Rahaman, "PERFORMANCE OF DIFFUSE OPTICAL TOMOGRAPHY USING DUAL SOURCE ILLUMINATION: RECONSTRUCTION OF OPTICAL PARAMETER FROM REAL PARTS OF THE MEASURED DATA," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 2, No. 4, pp. 101-107, October 2013.