3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis

Masuma Aktera, Andrew Lambert, Mark Pickering, Jennie SCARVELL, P Smith

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

A limitation to accurate automatic tracking of knee motion is the noise and blurring present in low dose X-ray fluoroscopy images. For more accurate tracking, this noise should be reduced while preserving anatomical structures such as bone. Noise in low dose X-ray images is generated from different sources, however quantum noise is by far the most dominant. In this paper we present an accurate multi-modal image registration algorithm which successfully registers 3D CT to 2D single plane low dose noisy and blurred fluoroscopy images that are captured for healthy knees. The proposed algorithm uses a new registration framework including a filtering method to reduce the noise and blurring effect in fluoroscopy images. Our experimental results show that the extra pre-filtering step included in the proposed approach maintains higher accuracy and repeatability for in vivo knee joint motion analysis.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5121-5124
Number of pages4
ISBN (Print)9781424479290
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, Chicago, United States
Duration: 26 Aug 201430 Aug 2014

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period26/08/1430/08/14

Fingerprint

Fluoroscopy
Dosimetry
Noise
Knee
Quantum noise
X rays
Image registration
Bone
X-Rays
Knee Joint
Motion analysis
Bone and Bones

Cite this

Aktera, M., Lambert, A., Pickering, M., SCARVELL, J., & Smith, P. (2014). 3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 5121-5124). [6944777] United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2014.6944777
Aktera, Masuma ; Lambert, Andrew ; Pickering, Mark ; SCARVELL, Jennie ; Smith, P. / 3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. United States : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 5121-5124
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abstract = "A limitation to accurate automatic tracking of knee motion is the noise and blurring present in low dose X-ray fluoroscopy images. For more accurate tracking, this noise should be reduced while preserving anatomical structures such as bone. Noise in low dose X-ray images is generated from different sources, however quantum noise is by far the most dominant. In this paper we present an accurate multi-modal image registration algorithm which successfully registers 3D CT to 2D single plane low dose noisy and blurred fluoroscopy images that are captured for healthy knees. The proposed algorithm uses a new registration framework including a filtering method to reduce the noise and blurring effect in fluoroscopy images. Our experimental results show that the extra pre-filtering step included in the proposed approach maintains higher accuracy and repeatability for in vivo knee joint motion analysis.",
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Aktera, M, Lambert, A, Pickering, M, SCARVELL, J & Smith, P 2014, 3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944777, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 5121-5124, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6944777

3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis. / Aktera, Masuma; Lambert, Andrew; Pickering, Mark; SCARVELL, Jennie; Smith, P.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. United States : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 5121-5124 6944777.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Aktera M, Lambert A, Pickering M, SCARVELL J, Smith P. 3D CT to 2D low dose single-plane fluoroscopy registration algorithm for in-vivo knee motion analysis. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. United States: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 5121-5124. 6944777 https://doi.org/10.1109/EMBC.2014.6944777