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

Masuma Akter, Andrew Lambert, Mark Pickering, Jennie Scarvell, Paul Smith

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)147-171
Number of pages25
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imagine and Visualisation
Issue number3
Publication statusPublished - 2015
Externally publishedYes


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