Accurate image reconstruction of a small ROI using fully truncated data in differential phase contrast computed tomography

Pascal Thériault Lauzier; Zhihua Qi; Joseph Zambelli; Nicholas Bevins; Guang-Hong Chen

doi:10.1117/12.844563

22 March 2010 Accurate image reconstruction of a small ROI using fully truncated data in differential phase contrast computed tomography

Pascal Thériault Lauzier, Zhihua Qi, Joseph Zambelli, Nicholas Bevins, Guang-Hong Chen

Author Affiliations +

Proceedings Volume 7622, Medical Imaging 2010: Physics of Medical Imaging; 76221U (2010) https://doi.org/10.1117/12.844563
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Differential phase contrast computed tomography (DPC-CT) is a novel X-ray imaging method that uses the wave properties of imaging photons as the contrast mechanism. It has been demonstrated that differential phase contrast images can be obtained using either synchrotron radiation or a conventional X-ray tube and a Talbot- Lau-type interferometer. These data acquisition systems offer only a limited field of view and thus, are prone to data truncation. In this work, we demonstrated that a small region of interest (ROI) of a large object can be accurately and stably reconstructed using fully truncated projection datasets provided that a priori information on electron density is known inside the ROI. The method reconstructs an image iteratively to satisfy a group of physical conditions using a projection onto convex set (POCS) algorithm. This POCS algorithm is validated using numerical simulations.

Citation Download Citation

Pascal Thériault Lauzier, Zhihua Qi, Joseph Zambelli, Nicholas Bevins, and Guang-Hong Chen "Accurate image reconstruction of a small ROI using fully truncated data in differential phase contrast computed tomography", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76221U (22 March 2010); https://doi.org/10.1117/12.844563

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