Realistic wave-optics simulation of X-ray phase-contrast imaging at a human scale

X-ray phase-contrast imaging (XPCI) can dramatically improve soft tissue contrast in X-ray medical imaging. Despite worldwide efforts to develop novel XPCI systems, a numerical framework to rigorously predict the performance of a clinical XPCI system at a human scale is not yet available. We have de...

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Bibliographic Details
Main Authors: Sung, Yongjin (Author), Segars, W. Paul (Author), Pan, Adam (Contributor), Ando, Masami (Author), Sheppard, Colin J. R. (Author), Gupta, Rajiv (Author)
Other Authors: Harvard University- (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2015-09-10T16:19:21Z.
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Online Access:Get fulltext
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100 1 0 |a Sung, Yongjin  |e author 
100 1 0 |a Harvard University-  |e contributor 
100 1 0 |a Pan, Adam  |e contributor 
700 1 0 |a Segars, W. Paul  |e author 
700 1 0 |a Pan, Adam  |e author 
700 1 0 |a Ando, Masami  |e author 
700 1 0 |a Sheppard, Colin J. R.  |e author 
700 1 0 |a Gupta, Rajiv  |e author 
245 0 0 |a Realistic wave-optics simulation of X-ray phase-contrast imaging at a human scale 
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856 |z Get fulltext  |u http://hdl.handle.net/1721.1/98439 
520 |a X-ray phase-contrast imaging (XPCI) can dramatically improve soft tissue contrast in X-ray medical imaging. Despite worldwide efforts to develop novel XPCI systems, a numerical framework to rigorously predict the performance of a clinical XPCI system at a human scale is not yet available. We have developed such a tool by combining a numerical anthropomorphic phantom defined with non-uniform rational B-splines (NURBS) and a wave optics-based simulator that can accurately capture the phase-contrast signal from a human-scaled numerical phantom. Using a synchrotron-based, high-performance XPCI system, we provide qualitative comparison between simulated and experimental images. Our tool can be used to simulate the performance of XPCI on various disease entities and compare proposed XPCI systems in an unbiased manner. 
520 |a United States. Defense Advanced Research Projects Agency. AXiS Program (Grant N66001-11-4204, P.R. 1300217190) 
520 |a Japan. Ministry of Education, Culture, Sports, Science and Technology (Grant-in-Aid for Scientific Research 18206011) 
546 |a en_US 
655 7 |a Article 
773 |t Scientific Reports