DocumentCode :
2613091
Title :
Parameter estimation in Multiple-Image Radiography
Author :
Majidi, Keiyan ; Brankov, Jovan G. ; Li, Lun ; Muehleman, Carol ; Wernick, Miles N.
Author_Institution :
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, 60616 USA
fYear :
2008
fDate :
19-25 Oct. 2008
Firstpage :
4214
Lastpage :
4217
Abstract :
Multiple-Image Radiography (MIR) is an analyzer-based phase sensitive X-ray imaging method, which is a potential alternative for conventional radiography. MIR simultaneously generates three planar images containing information about attenuation, refraction and scattering properties of the object. The three parametric images in MIR are estimated from angular samples of the angular intensity profile (AIP) of the beam using the analyzer crystal. Like many of the modern imaging techniques, MIR is a computing imaging method and the noise in MIR, in addition to the imaging conditions, depends on the estimation of the parameters. In this work, we continue the evaluation of a new parameter estimation method for MIR by using the MIR images from a cadaveric human thumb study. We also compare this new method to the conventional estimator by using the mean square error of the estimated images and the variance of the estimators as metrics.
Keywords :
Attenuation; Humans; Image analysis; Image generation; Mean square error methods; Parameter estimation; Radiography; Thumb; X-ray imaging; X-ray scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Conference_Location :
Dresden, Germany
ISSN :
1095-7863
Print_ISBN :
978-1-4244-2714-7
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2008.4774212
Filename :
4774212
Link To Document :
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