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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Medical Physicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Medical Physics
Article . 1989 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Medical Physics
Article . 1989
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Simulation studies of dual‐energy x‐ray absorptiometry

Authors: James A. Sorenson; Steven W. Smith; Peter R. Duke;

Simulation studies of dual‐energy x‐ray absorptiometry

Abstract

Computer simulations were performed to predict the performance characteristics of dual‐energy x‐ray absorptiometry. K‐edge filter techniques were analyzed in detail and compared to 153Gd sources in terms of output intensity, precision, patient dose, image contrast, beam hardening, and marrow fat effects. Similar analyses were performed for two dual‐kV techniques that have been reported in the literature. The simulations indicate that K‐edge filter techniques, or a dual‐kV technique combined with K‐edge filtering, can provide performance capabilities that equal or exceed those achievable with 153Gd systems. A (70/140) dual‐kV technique with conventional (Al or Cu) filtration also has advantages in terms of source output intensity, but is 2–3× inferior to the K‐edge techniques and 153Gd in terms of patient dose and beam‐hardening effects.

Keywords

Minerals, X-Rays, Humans, Computer Simulation, Gadolinium, Radionuclide Imaging, Bone and Bones, Filtration

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    62
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Average
Top 1%
Top 10%
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