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    Static and Dynamic Error of a Biplanar Videoradiography System Using Marker-Based and Markerless Tracking Techniques

    Source: Journal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 012::page 121002
    Author:
    Daniel L. Miranda
    ,
    Joel B. Schwartz
    ,
    Andrew C. Loomis
    ,
    Elizabeth L. Brainerd
    ,
    Braden C. Fleming
    ,
    Joseph J. Crisco
    DOI: 10.1115/1.4005471
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of biplanar videoradiography technology has become increasingly popular for evaluating joint function in vivo. Two fundamentally different methods are currently employed to reconstruct 3D bone motions captured using this technology. Marker-based tracking requires at least three radio-opaque markers to be implanted in the bone of interest. Markerless tracking makes use of algorithms designed to match 3D bone shapes to biplanar videoradiography data. In order to reliably quantify in vivo bone motion, the systematic error of these tracking techniques should be evaluated. Herein, we present new markerless tracking software that makes use of modern GPU technology, describe a versatile method for quantifying the systematic error of a biplanar videoradiography motion capture system using independent gold standard instrumentation, and evaluate the systematic error of the W.M. Keck XROMM Facility’s biplanar videoradiography system using both marker-based and markerless tracking algorithms under static and dynamic motion conditions. A polycarbonate flag embedded with 12 radio-opaque markers was used to evaluate the systematic error of the marker-based tracking algorithm. Three human cadaveric bones (distal femur, distal radius, and distal ulna) were used to evaluate the systematic error of the markerless tracking algorithm. The systematic error was evaluated by comparing motions to independent gold standard instrumentation. Static motions were compared to high accuracy linear and rotary stages while dynamic motions were compared to a high accuracy angular displacement transducer. Marker-based tracking was shown to effectively track motion to within 0.1 mm and 0.1 deg under static and dynamic conditions. Furthermore, the presented results indicate that markerless tracking can be used to effectively track rapid bone motions to within 0.15 deg for the distal aspects of the femur, radius, and ulna. Both marker-based and markerless tracking techniques were in excellent agreement with the gold standard instrumentation for both static and dynamic testing protocols. Future research will employ these techniques to quantify in vivo joint motion for high-speed upper and lower extremity impacts such as jumping, landing, and hammering.
    keyword(s): Algorithms , Bone , Testing , Computer software , Errors , Motion , Flagstone AND Dynamic testing (Materials) ,
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      Static and Dynamic Error of a Biplanar Videoradiography System Using Marker-Based and Markerless Tracking Techniques

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    • Journal of Biomechanical Engineering

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    contributor authorDaniel L. Miranda
    contributor authorJoel B. Schwartz
    contributor authorAndrew C. Loomis
    contributor authorElizabeth L. Brainerd
    contributor authorBraden C. Fleming
    contributor authorJoseph J. Crisco
    date accessioned2017-05-09T00:42:16Z
    date available2017-05-09T00:42:16Z
    date copyrightDecember, 2011
    date issued2011
    identifier issn0148-0731
    identifier otherJBENDY-27235#121002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145333
    description abstractThe use of biplanar videoradiography technology has become increasingly popular for evaluating joint function in vivo. Two fundamentally different methods are currently employed to reconstruct 3D bone motions captured using this technology. Marker-based tracking requires at least three radio-opaque markers to be implanted in the bone of interest. Markerless tracking makes use of algorithms designed to match 3D bone shapes to biplanar videoradiography data. In order to reliably quantify in vivo bone motion, the systematic error of these tracking techniques should be evaluated. Herein, we present new markerless tracking software that makes use of modern GPU technology, describe a versatile method for quantifying the systematic error of a biplanar videoradiography motion capture system using independent gold standard instrumentation, and evaluate the systematic error of the W.M. Keck XROMM Facility’s biplanar videoradiography system using both marker-based and markerless tracking algorithms under static and dynamic motion conditions. A polycarbonate flag embedded with 12 radio-opaque markers was used to evaluate the systematic error of the marker-based tracking algorithm. Three human cadaveric bones (distal femur, distal radius, and distal ulna) were used to evaluate the systematic error of the markerless tracking algorithm. The systematic error was evaluated by comparing motions to independent gold standard instrumentation. Static motions were compared to high accuracy linear and rotary stages while dynamic motions were compared to a high accuracy angular displacement transducer. Marker-based tracking was shown to effectively track motion to within 0.1 mm and 0.1 deg under static and dynamic conditions. Furthermore, the presented results indicate that markerless tracking can be used to effectively track rapid bone motions to within 0.15 deg for the distal aspects of the femur, radius, and ulna. Both marker-based and markerless tracking techniques were in excellent agreement with the gold standard instrumentation for both static and dynamic testing protocols. Future research will employ these techniques to quantify in vivo joint motion for high-speed upper and lower extremity impacts such as jumping, landing, and hammering.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatic and Dynamic Error of a Biplanar Videoradiography System Using Marker-Based and Markerless Tracking Techniques
    typeJournal Paper
    journal volume133
    journal issue12
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4005471
    journal fristpage121002
    identifier eissn1528-8951
    keywordsAlgorithms
    keywordsBone
    keywordsTesting
    keywordsComputer software
    keywordsErrors
    keywordsMotion
    keywordsFlagstone AND Dynamic testing (Materials)
    treeJournal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 012
    contenttypeFulltext
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