首页> 外文会议>Developments in X-Ray Tomography V; Progress in Biomedical Optics and Imaging; vol.7 no.38 >Modeling the forward problem based on the adaptive FEMs framework in bioluminescence tomography
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Modeling the forward problem based on the adaptive FEMs framework in bioluminescence tomography

机译:在生物发光层析成像中基于自适应有限元框架的正向问题建模

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摘要

Bioluminescence tomography (BLT) is a novel technique in vivo which may localize and quantify bioluminescent source to reveal the molecular and cellular information, and therefore it can monitor the growth and regression of tumor non-invasively. In complicated biological tissue, the accuracy improvement of numerical solution to the forward problem of BLT is beneficial to achieve better spatial resolution of source distribution. In this paper, we introduce the adaptive FEMs framework based on the diffusion equation to enhance the solution accuracy of the forward problem, and the bioluminescence imaging experiment has been performed with the heterogeneous physical phantom which is also scanned by microCT scanner to generate the volumetric mesh as the initial finite element mesh. Finally, The effectiveness of the adaptive FEMs framework is demonstrated with the comparison between the experimental results and the simulation solution.
机译:生物发光体层摄影术(BLT)是一种体内新技术,可以定位和量化生物发光源以揭示分子和细胞信息,因此可以无创地监测肿瘤的生长和消退。在复杂的生物组织中,对BLT正向问题数值解的精度提高,有利于实现源分布的更好空间分辨率。在本文中,我们引入了基于扩散方程的自适应有限元框架,以提高前向问题的求解精度,并利用异质物理体模进行了生物发光成像实验,并通过microCT扫描仪对其进行了扫描,以生成体积网格。作为初始有限元网格。最后,通过比较实验结果和仿真解决方案,证明了自适应有限元框架的有效性。

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