Soft Tissue Image Reconstruction Using Diffuse Optical Tomography

Diffuse optical tomography (DOT) is favorable to analyze physical records in organic tissue with a specific purpose by means of a method related to the forward problem and the inverse solution. This study develops morphological soft tissue realization using an image reconstruction algorithm constructed on multifrequency DOT in Near-Infra-Red (NIR) wavelength. Forward problem solves the Diffusion Equation to compute the optical flux distributed in the phantom geometrical model. Inverse solution, the image is reconstructed using the absorption and reduced scattered coefficients under different boundary conditions. The inverse image reconstruction algorithm is tested for several simulation, with variation in background contrast ratios for different frequencies are simulated. The image reconstruction in DOT eliminates spatial resolution by optimizing source-detector separation and modulation intensities of the source