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3D Bioluminescent Source Localization of Different Depths with Spectrum Information and Adaptive Finite Element Analysis

机译:具有光谱信息和自适应有限元分析的不同深度的3D生物发光源定位

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摘要

In this contribution, a novel adaptive finite element based source localization method is proposed and developed, which adopts the spectrum characteristic of bioluminescent source. In this method, multiple sets of surface measured data corresponding to the discretized spectral bands reduce the ill-posedness of BLT. Then, the adaptive mesh refinement using a posteriori error estimation helps not only to avoid the dimension disaster arisen from the multi-spectral measured data, but also to improve the BLT reconstruction. In addition, a posteriori permissible source region selection further reduces the ill-posedness of BLT and enhances the reconstruction stability and speed. Finally, the simulation verification of the proposed method is performed with the Monte Carlo (MC) based synthetic data. The accurate localization of one and two bioluminescent sources in different depths shows the effectiveness and potential of this algorithm for BLT.
机译:在此贡献中,提出并开发了一种新的基于自适应有限元的源定位方法,该方法利用了生物发光源的光谱特性。在这种方法中,对应于离散光谱带的多组表面测量数据减少了BLT的不适。然后,使用后验误差估计的自适应网格细化不仅有助于避免由多光谱测量数据引起的尺寸灾难,而且还可以改善BLT重建。另外,后验可允许的源区域选择进一步降低了BLT的不适,并提高了重建的稳定性和速度。最后,使用基于蒙特卡洛(MC)的综合数据对所提出方法进行了仿真验证。一个和两个生物发光源在不同深度的精确定位显示了该算法对BLT的有效性和潜力。

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