TY - GEN
T1 - Robust Estimation of Scatter and Primary Signals using Multi-View Information for Moving BlockerBased Cone-Beam Computed Tomography
AU - Zhao, Cong
AU - Ouyang, Luo
AU - Chen, Xi
AU - Wang, Jing
AU - Jin, Mingwu
N1 - Funding Information:
Manuscript received November 1, 2017. This work was supported in part by the NIH/NIBIB under Grant No. 1R03EB021600-02.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/11/12
Y1 - 2018/11/12
N2 - The moving blocker method has been demonstrated to be effective for scatter correction (SC) of cone-beam computed tomography (CBCT). However, a fixed thresholding was usually used to detect the blocker edge in the projection images, which only works in high-contrast uniform regions. The edge detection errors, caused by low-contrast and non-uniform intensity, can lead to significant artifacts in the reconstructed images. In this work, we propose to use the projection images at multiple adjacent views to estimate the scatter signal directly without identifying the blocked regions. Subsequently, the scatter signal can serve as an adaptive threshold to locate the unblocked regions for the estimation of the primary signal. The experimental results using an anthropomorphic pelvis phantom CBCT data show that the proposed method can robustly estimate the scatter and primary signals by avoiding blocker edge detection errors and lead to much improved reconstruction images.
AB - The moving blocker method has been demonstrated to be effective for scatter correction (SC) of cone-beam computed tomography (CBCT). However, a fixed thresholding was usually used to detect the blocker edge in the projection images, which only works in high-contrast uniform regions. The edge detection errors, caused by low-contrast and non-uniform intensity, can lead to significant artifacts in the reconstructed images. In this work, we propose to use the projection images at multiple adjacent views to estimate the scatter signal directly without identifying the blocked regions. Subsequently, the scatter signal can serve as an adaptive threshold to locate the unblocked regions for the estimation of the primary signal. The experimental results using an anthropomorphic pelvis phantom CBCT data show that the proposed method can robustly estimate the scatter and primary signals by avoiding blocker edge detection errors and lead to much improved reconstruction images.
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U2 - 10.1109/NSSMIC.2017.8532710
DO - 10.1109/NSSMIC.2017.8532710
M3 - Conference contribution
AN - SCOPUS:85058444111
T3 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
BT - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017
Y2 - 21 October 2017 through 28 October 2017
ER -