title: A comparison of iterative algorithms and a mixed approach for in-line x-ray phase retrieval.
abstract: Previous studies have shown that iterative in-line x-ray phase retrieval algorithms may have higher precision than direct retrieval algorithms. This communication compares three iterative phase retrieval algorithms in terms of accuracy and efficiency using computer simulations. We found the Fourier transformation based algorithm (FT) is of the fastest convergence, while the Poisson-solver based algorithm (PS) has higher precision. The traditional Gerchberg-Saxton algorithm (GS) is very slow and sometimes does not converge in our tests. Then a mixed FT-PS algorithm is presented to achieve both high efficiency and high accuracy. The mixed algorithm is tested using simulated images with different noise level and experimentally obtained images of a piece of chicken breast muscle.
authors.affiliation: Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
authors.forename: Fanbo
authors.initials: F
authors.lastname: Meng
authors.forename: Da
authors.initials: D
authors.lastname: Zhang
authors.forename: Xizeng
authors.initials: X
authors.lastname: Wu
authors.forename: Hong
authors.initials: H
authors.lastname: Liu