Stochastic level set evolution for nonlinear phase contrast tomography

5th International Workshop on New Computational Methods for Inverse Problems

物理学;计算机科学

Sixou, B.^1

CREATIS, INSA-Lyon

Inserm, U1044

CNRS UMR 5220, Université Lyon 1, Université de Lyon, Lyon

69621, France^1

关键词: Complex refractive index;    Level-set evolution;    Non linear reconstruction;    Phase tomography;    Piece-wise constants;    Reconstruction error;    Regularization methods;    Stochastic algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/657/1/012003/pdf
DOI  :  10.1088/1742-6596/657/1/012003

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

A stochastic pertubation of a level-set regularization method to find stable inverses for the nonlinear reconstruction of the complex refractive index in in-line phase tomography is presented under the assumption that the index is piecewise constant. The stochastic algorithm is tested on a multi-material object. It is useful to escape the local minima with decrease of the reconstruction errors localized on the boundaries.