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Proceedings Paper

Optimization-based design for artifact reduction in advanced diagnostic CT
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Paper Abstract

Cone-beam artifact may be observed in the images reconstructed from circular trajectory data by use of the FDK algorithm or its variants for an imaged subject with longitudinally strong contrast variation in advanced diagnostic CT with a large number of detector rows. Existing algorithms have limited success in correcting for the effect of the cone-beam artifacts especially on the reconstruction of low-contrast soft-tissue. In the work, we investigate and develop optimization-based reconstruction algorithms to compensate for the cone-beam artifacts in the reconstruction of low-contrast anatomies. Specifically, we investigate the impact of optimization-based reconstruction design based upon different data-fidelity terms on the artifact correction by using the Chambolle- Pock (CP) algorithm tailored to each of the specific data-fidelity terms considered. We performed numerical studies with real data collected with the 320-slice Canon Medical System CT scanner, demonstrated the effectiveness of the optimization-based reconstruction design, and identified the optimization-based reconstruction that corrects most effectively for the cone-beam artifacts.

Paper Details

Date Published: 9 March 2018
PDF: 4 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105734A (9 March 2018); doi: 10.1117/12.2292054
Show Author Affiliations
Dan Xia, The Univ. of Chicago (United States)
Yan Liu, Canon Medical Research USA, Inc. (United States)
Zhou Yu, Canon Medical Research USA, Inc. (United States)
Buxin Chen, The Univ. of Chicago (United States)
Richard Thompson, Canon Medical Research USA, Inc. (United States)
Emil Y. Sidky, The Univ. of Chicago (United States)
Xiaochuan Pan, The Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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