Robust initialisation for single-plane 3D CT to 2D fluoroscopy image registration

Citations of this article
Mendeley users who have this article in their library.
Get full text


Gradient descent-based automatic image registration algorithms typically fail when the initial misalignment between objects is large. This is a major limitation for routine clinical applications. The registration task is even more difficult for multi-modal images because of the nonlinear relationship between the pixel intensities in the images to be aligned. In this paper, we present a fast and accurate multi-modal image registration algorithm which successfully registers three-dimensional (3D) computed tomography to two-dimensional single-plane fluoroscopy data for large initial displacements between the images. Our experimental results show that the proposed approach can increase the range of initial displacements up to ± 20 mm for all translations and up to ± 20° for rotation while maintaining high precision and small bias in all six 3D rigid body transform parameters.




Akter, M., Lambert, A. J., Pickering, M. R., Scarvell, J. M., & Smith, P. N. (2015). Robust initialisation for single-plane 3D CT to 2D fluoroscopy image registration. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 3(3), 147–171.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free