18 March 2015 CBCT reconstruction via a penalty combining total variation and its higher-degree term
Author Affiliations +
Abstract
Penalized weighted least-squares (PWLS) iterative algorithm with a total variation penalty (PWLS-TV) has shown potential to improve cone-beam CT (CBCT) image quality, particularly in suppressing noise and preserving edges. However, it sometimes suffers from the well-known staircase effect, which produces piece-wise constant areas in images. In order to remove the staircase effect, there is an increasing interest in replacing TV by higher-order derivative operations such as Hessian. Unfortunately, Hessian tends to blur the edges in the reconstruction results. In this study, we proposed a new penalty, namely the TV-H penalty, which combines the TV penalty and the Hessian penalty for CBCT reconstruction. The TV-H penalty retains some of the most favorable properties of the TV penalty like suppressing noise and preserving edges and has a better ability in preserving the structures of gradual intensity transition in images. The penalized weighted least-squares (PWLS) criterion with the majorization-minimization (MM) approach was used to minimize the objective function. Two simulated digital phantoms were used to compare the performance of TV, Hessian penalty and TV-H penalties. Our experiments indicated that the TV-H penalty outperformed the TV penalty and the Hessian penalty.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nanbo Sun, Nanbo Sun, Tao Sun, Tao Sun, Jing Wang, Jing Wang, Shan Tan, Shan Tan, "CBCT reconstruction via a penalty combining total variation and its higher-degree term", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123T (18 March 2015); doi: 10.1117/12.2082445; https://doi.org/10.1117/12.2082445
PROCEEDINGS
9 PAGES


SHARE
Back to Top