Compressed sensing algorithms for fan-beam CT image reconstruction

Jun Zhang; Jun Wang; Guangwu Xu; Jean-Baptiste Thibault

doi:10.1117/12.877619

16 March 2011 Compressed sensing algorithms for fan-beam CT image reconstruction

Jun Zhang, Jun Wang, Guangwu Xu, Jean-Baptiste Thibault

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 796131 (2011) https://doi.org/10.1117/12.877619
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Compressed sensing can recover a signal that is sparse in some way from a small number of samples. For CT imaging, this has the potential to obtain good reconstruction from a smaller number of projections or views, thereby reducing the amount of patient radiation. In this work, we applied compressed sensing to fan beam CT image reconstruction , which is a special case of an important 3D CT problem (cone beam CT). We compared the performance of two compressed sensing algorithms, denoted as the LP and the QP, in simulation. Our results indicate that the LP generally provides smaller reconstruction error and converges faster, hence is more preferable.

Citation Download Citation

Jun Zhang, Jun Wang, Guangwu Xu, and Jean-Baptiste Thibault "Compressed sensing algorithms for fan-beam CT image reconstruction", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796131 (16 March 2011); https://doi.org/10.1117/12.877619

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