A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model
Xu Ji, Yuchen Lu, Xu Zhuo, Yikun Zhang, Shiyu Zhu, Yang Chen
Abstract
The image quality of C-arm CT degrades due to the non-ideal projection geometry due to mechanical vibrations of the gantry during the CT scan; therefore, geometrical calibration methods need to be applied to derive the view-specific projection matrices, which are incorporated in the reconstruction processes. Previous geometrical calibration methods either requires specific calibration phantoms or long computational time due to the 3D-2D registration process. This work begins with a theoretical derivation on how the perturbed geometrical parameters impact the projection images. It was found that with small perturbations of the view angle and the altitude angle, the relationship between the projection images under the ideal geometry and those under the perturbed geometry can be related based on a model-based 2D deformation dependent on the perturbed geometrical parameters. Guided by the theoretical derivations, a new geometrical correction method was proposed which generates the geometrical parameters based on 2D-2D registrations between the ideal projection images and the perturbed projection images. The proposed method was applied to offline and online calibration and was validated by both numerical experiments and physical experiments.