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Conference Paper: Assessing 3D tunnel position in ACL reconstruction using a novel single image 3D-2D registration

TitleAssessing 3D tunnel position in ACL reconstruction using a novel single image 3D-2D registration
Authors
Keywords3D-2D registration
Anterior cruciate ligament (ACL)
Contour-based registration
Expectation maximization
ACL reconstruction
Issue Date2012
PublisherSPIE - International Society for Optical Engineering.
Citation
SPIE Medical Imaging 2012, San Diego, CA., 4-9 February 2012. In Progress in Biomedical Optics and Imaging, 2012, v. 8316, art. no. 831628 How to Cite?
AbstractThe routinely used procedure for evaluating tunnel positions following anterior cruciate ligament (ACL) reconstructions based on standard X-ray images is known to pose difficulties in terms of obtaining accurate measures, especially in providing three-dimensional tunnel positions. This is largely due to the variability in individual knee joint pose relative to X-ray plates. Accurate results were reported using postoperative CT. However, its extensive usage in clinical routine is hampered by its major requirement of having CT scans of individual patients, which is not available for most ACL reconstructions. These difficulties are addressed through the proposed method, which aligns a knee model to X-ray images using our novel single-image 3D-2D registration method and then estimates the 3D tunnel position. In the proposed method, the alignment is achieved by using a novel contour-based 3D-2D registration method wherein image contours are treated as a set of oriented points. However, instead of using some form of orientation weighting function and multiplying it with a distance function, we formulate the 3D-2D registration as a probability density estimation using a mixture of von Mises-Fisher- Gaussian (vMFG) distributions and solve it through an expectation maximization (EM) algorithm. Compared with the ground-truth established from postoperative CT, our registration method in an experiment using a plastic phantom showed accurate results with errors of (-0.43°±1.19°, 0.45°±2.17°, 0.23°±1.05°) and (0.03±0.55, -0.03±0.54, -2.73±1.64) mm. As for the entry point of the ACL tunnel, one of the key measurements, it was obtained with high accuracy of 0.53±0.30 mm distance errors. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
DescriptionConference Theme: Image-Guided Procedures, Robotic Interventions, and Modeling
Poster Session: 2D/3D and Fluoroscopy
Persistent Identifierhttp://hdl.handle.net/10722/158786
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKang, Xen_US
dc.contributor.authorYau, WPen_US
dc.contributor.authorOtake, Yen_US
dc.contributor.authorCheung, PYSen_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorTaylor, RHen_US
dc.date.accessioned2012-08-08T09:01:19Z-
dc.date.available2012-08-08T09:01:19Z-
dc.date.issued2012en_US
dc.identifier.citationSPIE Medical Imaging 2012, San Diego, CA., 4-9 February 2012. In Progress in Biomedical Optics and Imaging, 2012, v. 8316, art. no. 831628en_US
dc.identifier.issn1605-7422en_US
dc.identifier.urihttp://hdl.handle.net/10722/158786-
dc.descriptionConference Theme: Image-Guided Procedures, Robotic Interventions, and Modeling-
dc.descriptionPoster Session: 2D/3D and Fluoroscopy-
dc.description.abstractThe routinely used procedure for evaluating tunnel positions following anterior cruciate ligament (ACL) reconstructions based on standard X-ray images is known to pose difficulties in terms of obtaining accurate measures, especially in providing three-dimensional tunnel positions. This is largely due to the variability in individual knee joint pose relative to X-ray plates. Accurate results were reported using postoperative CT. However, its extensive usage in clinical routine is hampered by its major requirement of having CT scans of individual patients, which is not available for most ACL reconstructions. These difficulties are addressed through the proposed method, which aligns a knee model to X-ray images using our novel single-image 3D-2D registration method and then estimates the 3D tunnel position. In the proposed method, the alignment is achieved by using a novel contour-based 3D-2D registration method wherein image contours are treated as a set of oriented points. However, instead of using some form of orientation weighting function and multiplying it with a distance function, we formulate the 3D-2D registration as a probability density estimation using a mixture of von Mises-Fisher- Gaussian (vMFG) distributions and solve it through an expectation maximization (EM) algorithm. Compared with the ground-truth established from postoperative CT, our registration method in an experiment using a plastic phantom showed accurate results with errors of (-0.43°±1.19°, 0.45°±2.17°, 0.23°±1.05°) and (0.03±0.55, -0.03±0.54, -2.73±1.64) mm. As for the entry point of the ACL tunnel, one of the key measurements, it was obtained with high accuracy of 0.53±0.30 mm distance errors. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).en_US
dc.languageengen_US
dc.publisherSPIE - International Society for Optical Engineering.en_US
dc.relation.ispartofProgress in Biomedical Optics and Imaging: Proceedings of SPIEen_US
dc.rightsProgress in Biomedical Optics and Imaging: Proceedings of SPIE. Copyright © SPIE - International Society for Optical Engineering.-
dc.rightsCopyright notice format: Copyright 2012 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subject3D-2D registrationen_US
dc.subjectAnterior cruciate ligament (ACL)en_US
dc.subjectContour-based registrationen_US
dc.subjectExpectation maximizationen_US
dc.subjectACL reconstruction-
dc.titleAssessing 3D tunnel position in ACL reconstruction using a novel single image 3D-2D registrationen_US
dc.typeConference_Paperen_US
dc.identifier.emailKang, X: h0794152@hku.hken_US
dc.identifier.emailYau, WP: peterwpy@hkucc.hku.hk-
dc.identifier.emailCheung, PYS: paul.cheung@hku.hk-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityYau, WP=rp00500en_US
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1117/12.911131en_US
dc.identifier.scopuseid_2-s2.0-84860251063en_US
dc.identifier.hkuros208278-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84860251063&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8316en_US
dc.identifier.isiWOS:000305070200079-
dc.publisher.placeUnited Statesen_US
dc.description.otherSPIE Medical Imaging 2012, San Diego, CA., 4-9 February 2012. In Progress in Biomedical Optics and Imaging, 2012, v. 8316, art. no. 831628-
dc.identifier.scopusauthoridTaylor, RH=7405756438en_US
dc.identifier.scopusauthoridHu, Y=54935623100en_US
dc.identifier.scopusauthoridCheung, PYS=7202595335en_US
dc.identifier.scopusauthoridOtake, Y=35771231600en_US
dc.identifier.scopusauthoridYau, WP=55085455100en_US
dc.identifier.scopusauthoridKang, X=36844160400en_US

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