25 March 2016 Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency
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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.
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Changhwan Kim, Changhwan Kim, Miran Park, Miran Park, Hoyeon Lee, Hoyeon Lee, Seungryong Cho, Seungryong Cho, } "Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832S (25 March 2016); doi: 10.1117/12.2214933; https://doi.org/10.1117/12.2214933
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