25 March 2016 Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changhwan Kim, Miran Park, Hoyeon Lee, 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
PROCEEDINGS
8 PAGES


SHARE
Back to Top