Research On Reconstruction Method Of Multiple Tumors Based On The Fluorescence Molecular Tomography

Molecular imaging technique enables people to reveal the molecular activities of living body in vivo non-invasively. Currently, optical molecular imaging technique has been widely applied in the area of drug and biomedicine development. Compared with the traditional imaging modalities, optical molecular imaging has the ability of visualization of molecular and cellular processes, thus making the corresponding research more convincing. As an important optical molecular imaging modality, Fluorescence molecular tomography (FMT) attempts to reconstruct the3D spatial distribution of the fluorescent probes in side of small animals. FMT is being widely applied to all areas of life sciences because of its high sensitivity and low cost properties.Cancer has threatened human’s health for a long time, and the primary tumors are found in more than one position constantly, so it is important to diagnose and reconstruct multiple lesions accurately. In recent years, an increasing effort has been devoted to the optimization of acquisition and reconstruction schemes for FMT. Consequently, the precision of the algorithm and the efficiency of the reconstruction have been improved greatly and most of the proposed algorithms were evaluated by numerical simulations and physical experiments. However, the tumor in situ would be affected by several biotic factors, and it hasn’t been proved if the proposed algorithms are available for tumors in vivo. In addition, the use of FMT for preclinical studies has been limited to detection of single tumor. Based on these studies, it is necessary to systematically study the three-dimensional registration and reconstruction method and applied it in the tumor detection. In this paper, the iteratively shrinkage method is introduced. This method can handle the general Lp-norm (1≤p≤2) regularization problem. By incorporating a surrogate function, this method can convert the original high dimensional optimization problem into a series of one dimension problems, which reduces the complexity of optimization.In the last part of this paper, the process of the reconstruction of double tumors in vivo is explained, and the result shows the double tumors are reconstructed successfully. It proves FMT is available for multiple tumors in vivo.