Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography

Abstract

Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels. However, the accuracy of the BLT reconstruction is significantly affected by the forward modeling errors in the simplified photon propagation model, the measurement noise in data acquisition, and the inherent ill-posedness of the inverse problem. In this paper, we present a new multispectral differential strategy (MDS) on the basis of analyzing the errors generated from the simplification from radiative transfer equation (RTE) to diffusion approximation and data acquisition of the imaging system. Through rigorous theoretical analysis, we learn that spectral differential not only can eliminate the errors caused by the approximation of RTE and imaging system measurement noise but also can further increase the constraint condition and decrease the condition number of system matrix for reconstruction compared with traditional multispectral (TM) reconstruction strategy. In forward simulations, energy differences and cosine similarity of the measured surface light energy calculated by Monte Carlo (MC) and diffusion equation (DE) showed that MDS can reduce the systematic errors in the process of light transmission. In addition, in inverse simulations and in vivo experiments, the results demonstrated that MDS was able to alleviate the ill-posedness of the inverse problem of BLT. Thus, the MDS method had superior location accuracy, morphology recovery capability, and image contrast capability in the source reconstruction as compared with the TM method and spectral derivative (SD) method. In vivo experiments verified the practicability and effectiveness of the proposed method.

Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction

“…Numerical simulations were conducted on a 3D digital mouse atlas 26 , and the simulations experiment used to evaluate the performance of the proposed algorithm for BLT reconstruction with the optical parameters at 650 nm 27 , and the empirical optical parameters for different organs were listed in Table 1. The torso section of the model with a height of 25mm was selected and divided into: muscle, heart, liver, lung, kidney, and bone.…”

Multi-source bioluminescene tomography reconstruction approach base on subspace decision

“…Therefore, in the actual clinical application and engineering application process of BLT, it takes a lot of time and experience to optimize the regularization parameter or other specific hyperparameters to achieve the ideal reconstruction effect and quality 15 . The second category starts with reconstruction strategies or means, including multispectral acquisition to increase the signal amount 16 , introducing an organ atlas to reduce the reconstruction cost 17 , or using permissible regions to reduce the solution space 18 . Compared with other strategies, the permissible region strategy has become a major research direction because it does not require additional data acquisition and model construction.…”