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    Accuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage

    Source: Journal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 012::page 121004
    Author:
    Seungbum Koo
    ,
    Nicholas J. Giori
    ,
    Garry E. Gold
    ,
    Chris O. Dyrby
    ,
    Thomas P. Andriacchi
    DOI: 10.1115/1.4000087
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cartilage morphology change is an important biomarker for the progression of osteoarthritis. The purpose of this study was to assess the accuracy of in vivo cartilage thickness measurements from MR image-based 3D cartilage models using a laser scanning method and to test if the accuracy changes with cartilage thickness. Three-dimensional tibial cartilage models were created from MR images (in-plane resolution of 0.55 mm and thickness of 1.5 mm) of osteoarthritic knees of ten patients prior to total knee replacement surgery using a semi-automated B-spline segmentation algorithm. Following surgery, the resected tibial plateaus were laser scanned and made into 3D models. The MR image and laser-scan based models were registered to each other using a shape matching technique. The thicknesses were compared point wise for the overall surface. The linear mixed-effects model was used for statistical test. On average, taking account of individual variations, the thickness measurements in MRI were overestimated in thinner (<2.5 mm) regions. The cartilage thicker than 2.5 mm was accurately predicted in MRI, though the thick cartilage in the central regions was underestimated. The accuracy of thickness measurements in the MRI-derived cartilage models systemically varied according to native cartilage thickness.
    keyword(s): Lasers , Thickness AND Cartilage ,
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      Accuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage

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    https://yetl.yabesh.ir/yetl1/handle/yetl/139802
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    • Journal of Biomechanical Engineering

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    contributor authorSeungbum Koo
    contributor authorNicholas J. Giori
    contributor authorGarry E. Gold
    contributor authorChris O. Dyrby
    contributor authorThomas P. Andriacchi
    date accessioned2017-05-09T00:31:27Z
    date available2017-05-09T00:31:27Z
    date copyrightDecember, 2009
    date issued2009
    identifier issn0148-0731
    identifier otherJBENDY-27079#121004_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/139802
    description abstractCartilage morphology change is an important biomarker for the progression of osteoarthritis. The purpose of this study was to assess the accuracy of in vivo cartilage thickness measurements from MR image-based 3D cartilage models using a laser scanning method and to test if the accuracy changes with cartilage thickness. Three-dimensional tibial cartilage models were created from MR images (in-plane resolution of 0.55 mm and thickness of 1.5 mm) of osteoarthritic knees of ten patients prior to total knee replacement surgery using a semi-automated B-spline segmentation algorithm. Following surgery, the resected tibial plateaus were laser scanned and made into 3D models. The MR image and laser-scan based models were registered to each other using a shape matching technique. The thicknesses were compared point wise for the overall surface. The linear mixed-effects model was used for statistical test. On average, taking account of individual variations, the thickness measurements in MRI were overestimated in thinner (<2.5 mm) regions. The cartilage thicker than 2.5 mm was accurately predicted in MRI, though the thick cartilage in the central regions was underestimated. The accuracy of thickness measurements in the MRI-derived cartilage models systemically varied according to native cartilage thickness.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAccuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage
    typeJournal Paper
    journal volume131
    journal issue12
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4000087
    journal fristpage121004
    identifier eissn1528-8951
    keywordsLasers
    keywordsThickness AND Cartilage
    treeJournal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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