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

• Published in: Pattern recognition Vol. 63; pp. 689 - 699
• Main Authors: Yu, Weimin, Tannast, Moritz, Zheng, Guoyan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2017
• Subjects: 2D–3D registration; Free-from deformation; GPU; Proximal femur; Pseudo inversion; Proximal femur; Pseudo inversion; GPU; Free-from deformation; 2D–3D registration
• ISSN: 0031-3203; 1873-5142
• DOI: 10.1016/j.patcog.2016.09.036

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. •A non-rigid free-from 2D–3D registration approach using a B-spline-based statistical deformation model.•A fast and accurate 3D B-spline pseudo-inversion algorithm.•Comprehensive validation.•Evaluate not only the volume reconstruction accuracy but also the cortical bone region reconstruction accuracy.