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Proceedings Paper

Algorithmic scatter correction based on physical model and statistical iterative reconstruction for dual energy cone beam CT
Author(s): Shaojie Chang; Ti Bai; Xi Chen; Xuanqin Mou
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Paper Abstract

Dual energy cone beam computed tomography (DE-CBCT) can provide more accurate material characterization than conventional CT by taking advantages of two sets of projections with high and low energies. X-ray scatter leads to erroneous values of the DE-CBCT reconstructed images. Moreover, the reconstructed image of DECT is extremely sensitive to noise. Iterative reconstruction methods using regularization are capable to suppress the noise effects and hence improve the image quality. In this paper, we develop an algorithmic scatter correction based on physical model and statistical iterative reconstruction for DE-CBCT. With the assumption that the attenuation coefficients of the soft tissues are relatively stable and uniform and the scatter component is dominated by low frequency signal, scatter components were calculated while updating the reconstructed images in each iteration. Finally, the CBCT image was reconstructed by scatter corrected projections using statistical iterative reconstruction algorithm. Experiment shows that the proposed method can effectively remove the artifacts caused by x-ray scatter. The CT value accuracy in the reconstructed images has been improved.

Paper Details

Date Published: 9 March 2018
PDF: 6 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105734P (9 March 2018); doi: 10.1117/12.2293470
Show Author Affiliations
Shaojie Chang, Xi'an Jiaotong Univ. (China)
Ti Bai, Xi'an Jiaotong Univ (China)
Xi Chen, Xi'an Jiaotong Univ. (China)
Xuanqin Mou, Xi'an Jiaotong Univ. (China)

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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