Physics of Medical Imaging

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

[+] Author Affiliations
Jovan G. Brankov

Illinois Institute of Technology, Medical Imaging Research Center, Department of Electrical and Computer Engineering, Chicago, Illinois 60616, United States

Alejandro Saiz-Herranz

Illinois Institute of Technology, Medical Imaging Research Center, Department of Electrical and Computer Engineering, Chicago, Illinois 60616, United States

Miles N. Wernick

Illinois Institute of Technology, Medical Imaging Research Center, Department of Electrical and Computer Engineering, Chicago, Illinois 60616, United States

J. Med. Imag. 1(3), 033503 (Nov 11, 2014). doi:10.1117/1.JMI.1.3.033503
History: Received June 26, 2014; Revised September 25, 2014; Accepted September 29, 2014
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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.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Jovan G. Brankov ; Alejandro Saiz-Herranz and Miles N. Wernick
"Noise properties and task-based evaluation of diffraction-enhanced imaging", J. Med. Imag. 1(3), 033503 (Nov 11, 2014). ; http://dx.doi.org/10.1117/1.JMI.1.3.033503


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