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Initially, the human glioma cell line U87MG-fLuc cells were cultured, and the orthotopic mouse brain tumor model was established. 10 days after the tumor cell implantation, the mice were divided into two groups including the TMZ group and the control group. The mice in the TMZ group were treated with Temozolomide with dosage of 50 mg/kg/day intraperitoneally for continuous 6 days, and the mice in the control group were treated with sterile saline at equal volume. The bioluminescence imaging (BLI) was acquired every 5 days for monitoring the therapeutic responses. A randomly enhanced adaptive subspace pursuit (REASP) algorithm is presented for bioluminescence tomography reconstruction. Basically, numerical experiments were used to validate the efficiency of the proposed method, and then the mice’s CT and BLI data were acquired to reconstruct BLT using the REASP algorithm.
The results in this study showed that the growth of glioma can be monitored from very early stage, and the TMZ treatment efficacy can be reliably and objectively assessed using BLT method. Our data demonstrated TMZ can effectively inhibit the tumor growth.
In this paper, a reconstruction method named multipath subspace pursuit (MSP) is applied to solve the FMT problem. At the end of an iteration, the MSP method creates several candidate support set. Through evaluating the normal of final residual vector, the best candidate can be selected as the final support set. Then the support set is used for reconstructing sense matrix to achieve the goal of FMT reconstruction.
In order to verity the reconstruction result of the proposed MSP method, the simulated experiment of triple fluorescent sources and quantitative analyses of position error and relative intensity error for the experiment have been conducted. The MSP method obtains satisfactory results, and the source position error is below 1 mm. Moreover, the computation time of the MSP method is about one order of magnitude less than iterated shrinkage with the L1-norm (IS_L1) method. The MSP method not only can obtain the result of robustness but also can reduce the artifacts in the background. The above results revealed the MSP method for the potential FMT application.
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