An improved diffuse optical tomography image reconstruction based on sparse recovery method

Diffuse Optical Tomography (DOT) is a noninvasive image detecting technique. It is used to assess spatial variation with absorption and scattering coefficients for tumor detection, distribution of oxygen concentration analysis, oxygenated hemoglobin concentration measurement or deoxygenated hemoglobin concentration measurement. In this paper, we use sparse recovery methods for DOT image reconstruction. Using the non-linear iterative method to reconstruct the DOT image can increase the resolution of each reconstructed layer. Sparse recovery methods use the p-norm in the evaluation question in 0 < p < =1. When the amount of independent gauge is limited by normal, which is a basic example for diffuse optical tomographic image reconstruction, sparse recovery methods present good performance.