The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations
Highspeed Biplanar Videoradiography (HSBV) permits recording of 3D bone movements with sub-millimeter precision. 2D-3D registrations are performed to quantify bone movements, providing a series of affine transformation matrices (ATMs). These registrations may result in alignment errors that produce...
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| creator | Bugajski, Tomasz Küpper, Jessica Bufe, Nikolas Radpour, Mohammad Kecskemethy, Andres Ronsky, Janet |
| description | Highspeed Biplanar Videoradiography (HSBV) permits recording of 3D bone movements with sub-millimeter precision. 2D-3D registrations are performed to quantify bone movements, providing a series of affine transformation matrices (ATMs). These registrations may result in alignment errors that produce inaccurate kinematics. Smoothing techniques can be applied to the ATMs to reduce these inaccuracies. Which techniques are best for this application remain unknown. The purpose of this study was to investigate the performance of six smoothing techniques on ATMs obtained from HSBV. Performance was assessed by measuring the accuracy of three reference finite helical axis (rFHA) measures during a turntable rotation: orientation, dispersion, and rotation speed difference (RSD = rFHA RS—turntable RS). A 3D printed femur and tibia were mounted to the turntable and rotations recorded with HSBV. The rFHA was calculated for the bones using each smoothing technique and ranked using a Friedman test. The relative percent change to the unsmoothed data was reported. A spline filter with outlier removal (SPOUT) was ranked the best technique, producing the most accurate RSDs for the femur (–79.64%) and tibia (–70.59%). SPOUT was the top performing smoothing technique. Further investigations using SPOUT are required for
in-vivo
human movements.
Graphical abstract |
| doi_str_mv | 10.1007/s11517-023-02813-2 |
| format | Article |
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in-vivo
human movements.
Graphical abstract</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-023-02813-2</identifier><identifier>PMID: 36914925</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Affine transformations ; Bioengineering ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Bones ; Computer Applications ; Data smoothing ; Engineering ; Femur ; Human motion ; Human Physiology ; Imaging ; Investigations ; Kinematics ; Original Article ; Outliers (statistics) ; Radiology ; Registration ; Rotation ; Smoothing ; Software ; Three dimensional printing ; Tibia ; Turntables</subject><ispartof>Medical & biological engineering & computing, 2023-07, Vol.61 (7), p.1783-1793</ispartof><rights>International Federation for Medical and Biological Engineering 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. International Federation for Medical and Biological Engineering.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-fab5aab3e3bd29c3d5ce7179654df8e2b5ae76dfe081dc806cf7948dd13e28a43</cites><orcidid>0000-0002-2617-2463</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-023-02813-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-023-02813-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36914925$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bugajski, Tomasz</creatorcontrib><creatorcontrib>Küpper, Jessica</creatorcontrib><creatorcontrib>Bufe, Nikolas</creatorcontrib><creatorcontrib>Radpour, Mohammad</creatorcontrib><creatorcontrib>Kecskemethy, Andres</creatorcontrib><creatorcontrib>Ronsky, Janet</creatorcontrib><title>The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>Highspeed Biplanar Videoradiography (HSBV) permits recording of 3D bone movements with sub-millimeter precision. 2D-3D registrations are performed to quantify bone movements, providing a series of affine transformation matrices (ATMs). These registrations may result in alignment errors that produce inaccurate kinematics. Smoothing techniques can be applied to the ATMs to reduce these inaccuracies. Which techniques are best for this application remain unknown. The purpose of this study was to investigate the performance of six smoothing techniques on ATMs obtained from HSBV. Performance was assessed by measuring the accuracy of three reference finite helical axis (rFHA) measures during a turntable rotation: orientation, dispersion, and rotation speed difference (RSD = rFHA RS—turntable RS). A 3D printed femur and tibia were mounted to the turntable and rotations recorded with HSBV. The rFHA was calculated for the bones using each smoothing technique and ranked using a Friedman test. The relative percent change to the unsmoothed data was reported. A spline filter with outlier removal (SPOUT) was ranked the best technique, producing the most accurate RSDs for the femur (–79.64%) and tibia (–70.59%). SPOUT was the top performing smoothing technique. Further investigations using SPOUT are required for
in-vivo
human movements.
Graphical abstract</description><subject>Accuracy</subject><subject>Affine transformations</subject><subject>Bioengineering</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Bones</subject><subject>Computer Applications</subject><subject>Data smoothing</subject><subject>Engineering</subject><subject>Femur</subject><subject>Human motion</subject><subject>Human Physiology</subject><subject>Imaging</subject><subject>Investigations</subject><subject>Kinematics</subject><subject>Original Article</subject><subject>Outliers (statistics)</subject><subject>Radiology</subject><subject>Registration</subject><subject>Rotation</subject><subject>Smoothing</subject><subject>Software</subject><subject>Three dimensional 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influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations</title><author>Bugajski, Tomasz ; Küpper, Jessica ; Bufe, Nikolas ; Radpour, Mohammad ; Kecskemethy, Andres ; Ronsky, Janet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-fab5aab3e3bd29c3d5ce7179654df8e2b5ae76dfe081dc806cf7948dd13e28a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Affine transformations</topic><topic>Bioengineering</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Bones</topic><topic>Computer Applications</topic><topic>Data smoothing</topic><topic>Engineering</topic><topic>Femur</topic><topic>Human motion</topic><topic>Human 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bugajski, Tomasz</au><au>Küpper, Jessica</au><au>Bufe, Nikolas</au><au>Radpour, Mohammad</au><au>Kecskemethy, Andres</au><au>Ronsky, Janet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations</atitle><jtitle>Medical & biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>61</volume><issue>7</issue><spage>1783</spage><epage>1793</epage><pages>1783-1793</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>Highspeed Biplanar Videoradiography (HSBV) permits recording of 3D bone movements with sub-millimeter precision. 2D-3D registrations are performed to quantify bone movements, providing a series of affine transformation matrices (ATMs). These registrations may result in alignment errors that produce inaccurate kinematics. Smoothing techniques can be applied to the ATMs to reduce these inaccuracies. Which techniques are best for this application remain unknown. The purpose of this study was to investigate the performance of six smoothing techniques on ATMs obtained from HSBV. Performance was assessed by measuring the accuracy of three reference finite helical axis (rFHA) measures during a turntable rotation: orientation, dispersion, and rotation speed difference (RSD = rFHA RS—turntable RS). A 3D printed femur and tibia were mounted to the turntable and rotations recorded with HSBV. The rFHA was calculated for the bones using each smoothing technique and ranked using a Friedman test. The relative percent change to the unsmoothed data was reported. A spline filter with outlier removal (SPOUT) was ranked the best technique, producing the most accurate RSDs for the femur (–79.64%) and tibia (–70.59%). SPOUT was the top performing smoothing technique. Further investigations using SPOUT are required for
in-vivo
human movements.
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| subjects | Accuracy Affine transformations Bioengineering Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Bones Computer Applications Data smoothing Engineering Femur Human motion Human Physiology Imaging Investigations Kinematics Original Article Outliers (statistics) Radiology Registration Rotation Smoothing Software Three dimensional printing Tibia Turntables |
| title | The influence of smoothing techniques on the accuracy of the reference finite helical axis when applied to 2D-3D registrations |
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