Noise properties and task-based evaluation of diffraction-enhanced imaging

Jovan G. Brankov; Alejandro Saiz-Herranz; Miles N. Wernick

doi:10.1117/1.JMI.1.3.033503

11 November 2014 Noise properties and task-based evaluation of diffraction-enhanced imaging

Jovan G. Brankov, Alejandro Saiz-Herranz, Miles N. Wernick

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 3, 033503 (November 2014). https://doi.org/10.1117/1.JMI.1.3.033503

Abstract

Diffraction-enhanced imaging (DEI) is an emerging x-ray imaging method that simultaneously yields x-ray attenuation and refraction images and holds great promise for soft-tissue imaging. The DEI has been mainly studied using synchrotron sources, but efforts have been made to transition the technology to more practical implementations using conventional x-ray sources. The main technical challenge of this transition lies in the relatively lower x-ray flux obtained from conventional sources, leading to photon-limited data contaminated by Poisson noise. Several issues that must be understood in order to design and optimize DEI imaging systems with respect to noise performance are addressed. Specifically, we: (a) develop equations describing the noise properties of DEI images, (b) derive the conditions under which the DEI algorithm is statistically optimal, (c) characterize the imaging performance that can be obtained as measured by task-based metrics, and (d) consider image-processing steps that may be employed to mitigate noise effects.

Citation Download Citation

Jovan G. Brankov, Alejandro Saiz-Herranz, and Miles N. Wernick "Noise properties and task-based evaluation of diffraction-enhanced imaging," Journal of Medical Imaging 1(3), 033503 (11 November 2014). https://doi.org/10.1117/1.JMI.1.3.033503

Published: 11 November 2014

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