Affiliations: Department of Mathematics and Information Engineering,
Chongqing University of Education, Chongqing, China | Department of Radiology, Division of Radiologic
Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA | College of Mathematics and Statistics, Chongqing
University, Chongqing, China
Note: [] Corresponding author: Xiaobing Zou, Department of Mathematics
and Information Engineering, Chongqing University of Education, Chongqing
400065, China. Tel.: +86 13708336991; E-mail: xiaobingzou@163.com
Abstract: To reconstruct images from truncated projections collected along a
spiral trajectory, the most common approach is to smoothly extrapolate each
projection to suppress truncation artifacts. Based on the work of Dennerlein, a
local reconstruction algorithm is developed for spiral cone beam computed
tomography (CT), which does not need explicit projection extrapolation. This
algorithm is a filtered-backprojection (FBP) format and contains three major
steps: cosine weight, filtration, and backprojection. While the cosine weight
and backprojection steps are the same as the classical Feldkamp – Davis – Kress
(FDK) scheme, the filtering step contains two steps: Laplace filtering and
Radon transform-based filtering. Numerical simulation results show that the
proposed algorithm has a better performance than FDK algorithm for
region-of-interest (ROI) reconstruction of spiral cone-beam CT.
