Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging

Yan Wang; Wanxia Huang; Qili He; Zhongzhu Zhu; Jin Zhang; Qingxi Yuan; Kai Zhang; Peiping Zhu

doi:10.1117/1.OE.57.5.053108

14 May 2018 Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging

Yan Wang, Wanxia Huang, Qili He, Zhongzhu Zhu, Jin Zhang, Qingxi Yuan, Kai Zhang, Peiping Zhu

Author Affiliations +

Funded by: National Natural Science Foundation of China (NSFC), Natural Science Foundation of China, National Key Research and Development Program of China, Institute of High Energy Physics, Chinese Academy of Sciences

Optical Engineering, Vol. 57, Issue 5, 053108 (May 2018). https://doi.org/10.1117/1.OE.57.5.053108

Abstract

Phase retrieval with unidirectional differential phase-contrast image requires integration with noisy data, which is an illposed inverse problem. Conventional direct integration method would result in severe streak artifacts. Total variation (TV) regularization-based method would reduce the streak artifacts, but the edges parallel with phase-contrast sensitivity direction are likely to be over smoothed. We propose an improved weighted TV regularization phase retrieval method by introducing a weighting factor to the conventional TV term. When applied to simulation and experimental data, this method shows an advantage of preserving the sharpness of the edges while preserving the ability of reducing streak artifacts compared with conventional TV-regularization method.

Citation Download Citation

Yan Wang, Wanxia Huang, Qili He, Zhongzhu Zhu, Jin Zhang, Qingxi Yuan, Kai Zhang, and Peiping Zhu "Adaptive weighted total variation regularized phase retrieval in differential phase-contrast imaging," Optical Engineering 57(5), 053108 (14 May 2018). https://doi.org/10.1117/1.OE.57.5.053108

Received: 8 February 2018; Accepted: 27 April 2018; Published: 14 May 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE