Krauze Wojciech, Makowski Piotr, Kujawińska Małgorzata, Kuś Arkadiusz
Opt Express. 2016 Mar 7;24(5):4924-4936. doi: 10.1364/OE.24.004924.
Due to incompleteness of input data inherent to Limited Angle Tomography (LAT), specific additional constraints are usually employed to suppress image artifacts. In this work we demonstrate a new two-stage regularization strategy, named Generalized Total Variation Iterative Constraint (GTVIC), dedicated to semi-piecewise-constant objects. It has been successfully applied as a supplementary module for two different reconstruction algorithms: an X-ray type solver and a diffraction-wise solver. Numerical tests performed on a detailed phantom of a biological cell under conical illumination pattern show significant reduction of axial blurring in the reconstructed refractive index distribution after GTVIC is added. Analogous results were obtained with experimental data.
由于有限角度断层扫描（LAT）固有的输入数据不完整性，通常采用特定的附加约束来抑制图像伪影。在这项工作中，我们展示了一种新的两阶段正则化策略，称为广义全变差迭代约束（GTVIC），专门用于半分段常数对象。它已成功应用于两种不同重建算法的补充模块：一种X射线型求解器和一种衍射型求解器。在锥形照明模式下对生物细胞的详细模型进行的数值测试表明，添加GTVIC后，重建的折射率分布中的轴向模糊显著减少。实验数据也得到了类似的结果。
