Direct Regularization of MRI-Guided Diffuse Optical Tomography Based on L1-Norm

Due to the high scattering and low absorption characteristics of near-infrared light in the biological medium, the image quality and spatial resolution obtained by the Diffuse Optical Tomographic (DOT) cannot meet the medical diagnosis request. In this paper, we introduce a reconstruction approach that the gray value of Magnetic Resonance Image (MRI) can be encoded into the image reconstruction process as prior information to avoid the user intervention of image segmentation and to improve the quality of the reconstructed images. Consider to the sparsity of the interest region in background, L1 norm are adopted as the regularization term. Relative to the no prior and the L2-norm regularization, the results show improvements in reconstructed accuracy and contrast.