Fluorescence guided diffusion optical tomography based on wavelet transform and singular value decomposition

Abstract

A novel method for optical breast imaging was presented based on fluorescence guided diffusion optical tomography (DOT). In this paper, the time-domain fluorescence parameters (yield and lifetime) were reconstructed based on discrete wavelet transform at first, then the fluorescence images were used to guide and constrain the diffusion optical tomography reconstruction, and the image segmentation strategy based on wavelet coefficient was applied to improve the image quality in DOT. To validate the proposed method, the numerical simulation was performed to demonstrate its computational efficacy. The results showed the feasibility of this method, and the spatial resolution, quantification and computational efficiency in fluorescence diffusion optical tomography and DOT were enhanced evidently.