基于联合代数重建技术的介观荧光分子层析成像

Mesoscopic fluorescence molecular tomography via simultaneous algebraic reconstruction technique

针对介观荧光分子层析成像重建问题,提出了一种基于联合代数重建技术的介观荧光分子层析成像重建方法。首先应用主成分分析算法对敏感矩阵进行双重降维操作,以消除敏感矩阵中的冗余信息;其次为保持重建结果与目标数据的一致性,对降维后的矩阵进行零填充;最后应用荧光光强测量数据和填充后的敏感矩阵,经带有总变差正则化项的联合代数重建技术重建组织中荧光探针的三维分布。为了评估所提方法的性能,设计了计算机数值仿体实验和血管树实验。实验结果表明,文中所提方法既提高了算法的重建精度和抗噪声性能又缩短了重建时间。因此,文中所提方法适用于介观荧光分子层析成像重建研究。

As a novel imaging modality,mesoscopic fluorescence molecular tomography(MFMT)can realize non-invasive high-resolution imaging for the distribution of specific fluorescent probes in tumor tissues through image reconstruction algorithms.However,MFMT reconstruction is a large-scale ill-posed and ill-conditioned inverse problem.Aiming at the problem of MFMT reconstruction,a method based on the simultaneous algebraic reconstruction technique is proposed.Firstly,the principal component analysis is utilized to double reduce the dimension of the sensitivity matrix to eliminate the redundant information.Then,the matrix obtained in the previous step is filled with zero to keep the consistency between the reconstruction result and the target data.Finally,the three-dimensional distribution of fluorescent probes is obtained through the simultaneous algebraic reconstruction technique with total variation regularization.To evaluate the performance of the proposed method,in silico and vascular tree experiments were carried out.Experimental results demonstrate that the proposed method can effectively shorten the reconstruction time,obtain high reconstruction accuracy and improve the performance of noise suppression.Therefore,the proposed method is suited for the MFMT reconstruction.