Non-rigid free-form 2D-3D registration using a B-spline-based statistical deformation model

作者：Yu Weimin; Tannast Moritz; Zheng Guoyan^*

来源：Pattern Recognition, 2017, 63: 689-699.

DOI：10.1016/j.patcog.2016.09.036

• Free-from deformation
• 2D-3D registration
• Pseudo inversion
• GPU
• Proximal femur

This paper presents a non-rigid free-from 2D-3D registration approach using a B-spline-based statistical deformation model (SDM). In our approach the B-spline-based SDM is first constructed from a set of training data using a non-rigid registration algorithm based on B-spline free-form deformation to encode a priori information about the underlying anatomy. A novel intensity-based non-rigid 2D-3D registration algorithm is then presented to iteratively fit the 3D B-spline-based SDM to the 2D X-ray images of an unseen subject, which requires a computationally expensive inversion of the instantiated deformation in each iteration. In this paper, we propose to solve this challenge with a fast 3D B-spline pseudo-inversion algorithm that is implemented on graphics processing unit (GPU). Comprehensive experiments on simulated images of patient data sets, on calibrated C-arm and on X-ray images of cadaveric femurs are designed and conducted to evaluate the performance of the proposed approach. The experimental results demonstrate the efficacy of the present approach.

• 出版日期2017-3