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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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