Computational techniques in propagation-based x-ray phase imaging

Jonathan C. Petruccelli; Sajjad Tahir; Sajid Bashir; Adam Pan; Lei Tian; Ling Xu; C. A. MacDonald; George Barbastathis

doi:10.1117/12.2062917

17 September 2014 Computational techniques in propagation-based x-ray phase imaging

Jonathan C. Petruccelli, Sajjad Tahir, Sajid Bashir, Adam Pan, Lei Tian, Ling Xu, C. A. MacDonald, George Barbastathis

Proceedings Volume 9209, Advances in Computational Methods for X-Ray Optics III; 92090P (2014) https://doi.org/10.1117/12.2062917
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

X–ray phase imaging utilizes a variety of techniques to render phase information as intensity contrast and these intensity images can in some cases be processed to retrieve quantitative phase. A subset of these techniques use free space propagation to generate phase contrast and phase can be recovered by inverting differential equations governing propagation. Two techniques to generate quantitative phase reconstructions from a single phase contrast image are described in detail, along with regularization techniques to reduce the influence of noise. Lastly, a recently developed technique utilizing a binary–amplitude grid to enhance signal strength in propagation–based techniques is described.

Citation Download Citation

Jonathan C. Petruccelli, Sajjad Tahir, Sajid Bashir, Adam Pan, Lei Tian, Ling Xu, C. A. MacDonald, and George Barbastathis "Computational techniques in propagation-based x-ray phase imaging", Proc. SPIE 9209, Advances in Computational Methods for X-Ray Optics III, 92090P (17 September 2014); https://doi.org/10.1117/12.2062917

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

Includes PDF, HTML & Video, when available