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Proceedings Paper

Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency
Author(s): Changhwan Kim; Miran Park; Hoyeon Lee; Seungryong Cho
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Paper Abstract

Our earlier work has demonstrated that the data consistency condition can be used as a criterion for scatter kernel optimization in deconvolution methods in a full-fan mode cone-beam CT [1]. However, this scheme cannot be directly applied to CBCT system with an offset detector (half-fan mode) because of transverse data truncation in projections. In this study, we proposed a modified scheme of the scatter kernel optimization method that can be used in a half-fan mode cone-beam CT, and have successfully shown its feasibility. Using the first-reconstructed volume image from half-fan projection data, we acquired full-fan projection data by forward projection synthesis. The synthesized full-fan projections were partly used to fill the truncated regions in the half-fan data. By doing so, we were able to utilize the existing data consistency-driven scatter kernel optimization method. The proposed method was validated by a simulation study using the XCAT numerical phantom and also by an experimental study using the ACS head phantom.

Paper Details

Date Published: 25 March 2016
PDF: 8 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832S (25 March 2016); doi: 10.1117/12.2214933
Show Author Affiliations
Changhwan Kim, KAIST (Korea, Republic of)
Miran Park, KAIST (Korea, Republic of)
Hoyeon Lee, KAIST (Korea, Republic of)
Seungryong Cho, KAIST (Korea, Republic of)

Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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