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 BookConference contribution

43 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
PublisherInstitute of Electrical and Electronics Engineers
Pages5821-5824
Number of pages4
ISBN (Print)9781424432967
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event31st 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 20096 Sep 2009

Conference

Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period2/09/096/09/09

Fingerprint

Image registration
Computer-Assisted Surgery
Ankle Joint
Knee Joint
Biomechanical Phenomena
Surgery
Bone
Kinematics
Bone and Bones

Cite this

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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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 BookConference contribution

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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