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Avoiding local optima of the joint entropy prior in limited view tomography using a multiresolution scheme

机译:在使用多分辨率方案的有限视图层析成像中避免关节熵的局部最优

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The incorporation of anatomical reference images into limited view transmission tomography has been attempted previously by using the joint entropy prior. However, this prior has been found to be sensitive to local optima. Here, we propose to increase robustness to local optima by using a multiresolution optimisation scheme. To our knowledge, this is the first work to apply multiresolution optimisation to the joint entropy prior in limited view transmission tomography. The results show a substantial mitigation of the sensitivity to local optima, as well as a robustness to missing as well as extra regions in the anatomical reference image. In addition, we demonstrate the method's robustness to misalignment between the reconstruction and the anatomical reference image.
机译:先前已经尝试通过使用联合熵来尝试将解剖参考图像合并到有限视图透射层析成像中。然而,已经发现该先验对局部最优敏感。在这里,我们建议通过使用多分辨率优化方案来提高对局部最优的鲁棒性。据我们所知,这是在有限的视角透射层析成像中将多分辨率优化应用于联合熵的第一项工作。结果表明,对局部最佳灵敏度的敏感性大大降低,并且对解剖参考图像中的缺失区域和额外区域具有鲁棒性。此外,我们证明了该方法对于重建和解剖参考图像之间未对准的鲁棒性。

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