Fluorescent molecular tomography (FMT) is an important molecular imaging technique for medical diagnosis and treatment. In FMT, a typical forward model is the diffusion approximation. However, this approximation is not valid in biological tissues with low-scattering regions. To overcome this problem, a Bayesian method in combination with the model error is proposed. Further, an iteration method of boundary measurements is incorporated into the reconstruction process to improve the efficiency of reconstruction for FMT. Simulation results obtained demonstrate that the proposed approach can effectively improve the quality of the reconstructed results and speed up the reconstruction process.

中文翻译：

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通过测量迭代进行荧光分子断层扫描的贝叶斯重建


荧光分子断层扫描（FMT）是用于医学诊断和治疗的重要分子成像技术。在FMT中，典型的正演模型是扩散近似。然而，这种近似在具有低散射区域的生物组织中无效。为了克服这个问题，提出了结合模型误差的贝叶斯方法。此外，在重建过程中引入了边界测量的迭代方法，以提高FMT的重建效率。仿真结果表明，该方法能够有效提高重建结果的质量，加快重建过程。