A new multi-modal similarity measure for fast gradient-based 2D-3D image registration

Mark R. Pickering; Abdullah Muhit; Jennie M. Scarvell; Paul N. Smith

doi:10.1109/IEMBS.2009.5335172

A new multi-modal similarity measure for fast gradient-based 2D-3D image registration

Mark R. Pickering, Abdullah Muhit, Jennie M. Scarvell, Paul N. Smith

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

45 Citations (Scopus)

5 Downloads (Pure)

Abstract

2D-3D image registration has been adopted in many clinical applications such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. In this paper we propose a new single-plane 2D-3D registration algorithm which requires far less iteration than previous techniques. The new algorithm includes a new multi-modal similarity measure and a novel technique for the analytic calculation of the required gradients. Our experimental results show that, when compared to existing gradient and non-gradient based techniques, the proposed algorithm has a wider range of initial poses for which registration can be achieved and requires significantly fewer iterations to converge to the true 3D position of the anatomical structure.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Publisher	Institute of Electrical and Electronics Engineers
Pages	5821-5824
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5335172
Publication status	Published - 2009
Externally published	Yes
Event	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States Duration: 2 Sep 2009 → 6 Sep 2009

Conference

Conference	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

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10.1109/IEMBS.2009.5335172

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Pickering, M. R., Muhit, A., Scarvell, J. M., & Smith, P. N. (2009). A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 5821-5824). [5335172] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2009.5335172

Pickering, Mark R. ; Muhit, Abdullah ; Scarvell, Jennie M. ; Smith, Paul N. / A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers, 2009. pp. 5821-5824

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abstract = "2D-3D image registration has been adopted in many clinical applications such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. In this paper we propose a new single-plane 2D-3D registration algorithm which requires far less iteration than previous techniques. The new algorithm includes a new multi-modal similarity measure and a novel technique for the analytic calculation of the required gradients. Our experimental results show that, when compared to existing gradient and non-gradient based techniques, the proposed algorithm has a wider range of initial poses for which registration can be achieved and requires significantly fewer iterations to converge to the true 3D position of the anatomical structure.",

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Pickering, MR, Muhit, A, Scarvell, JM & Smith, PN 2009, A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5335172, Institute of Electrical and Electronics Engineers, pp. 5821-5824, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5335172

A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. / Pickering, Mark R.; Muhit, Abdullah; Scarvell, Jennie M.; Smith, Paul N.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers, 2009. p. 5821-5824 5335172.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AB - 2D-3D image registration has been adopted in many clinical applications such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. In this paper we propose a new single-plane 2D-3D registration algorithm which requires far less iteration than previous techniques. The new algorithm includes a new multi-modal similarity measure and a novel technique for the analytic calculation of the required gradients. Our experimental results show that, when compared to existing gradient and non-gradient based techniques, the proposed algorithm has a wider range of initial poses for which registration can be achieved and requires significantly fewer iterations to converge to the true 3D position of the anatomical structure.

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Pickering MR, Muhit A, Scarvell JM, Smith PN. A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers. 2009. p. 5821-5824. 5335172 https://doi.org/10.1109/IEMBS.2009.5335172

A new multi-modal similarity measure for fast gradient-based 2D-3D image registration

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