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contributor authorGiambini, Hugo
contributor authorDragomir
contributor authorNassr, Ahmad
contributor authorYaszemski, Michael J.
contributor authorZhao, Chunfeng
date accessioned2017-05-09T01:26:18Z
date available2017-05-09T01:26:18Z
date issued2016
identifier issn0148-0731
identifier otherbio_138_09_091003.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160448
description abstractQuantitative computed tomographybased finiteelement analysis (QCT/FEA) has become increasingly popular in an attempt to understand and possibly reduce vertebral fracture risk. It is known that scanning acquisition settings affect Hounsfield units (HU) of the CT voxels. Material properties assignments in QCT/FEA, relating HU to Young's modulus, are performed by applying empirical equations. The purpose of this study was to evaluate the effect of QCT scanning protocols on predicted stiffness values from finiteelement models. One fresh frozen cadaveric torso and a QCT calibration phantom were scanned six times varying voltage and current and reconstructed to obtain a total of 12 sets of images. Five vertebrae from the torso were experimentally tested to obtain stiffness values. QCT/FEA models of the five vertebrae were developed for the 12 image data resulting in a total of 60 models. Predicted stiffness was compared to the experimental values. The highest percent difference in stiffness was approximately 480% (80 kVp, 110 mAs, U70), while the lowest outcome was ∼1% (80 kVp, 110 mAs, U30). There was a clear distinction between reconstruction kernels in predicted outcomes, whereas voltage did not present a clear influence on results. The potential of QCT/FEA as an improvement to conventional fracture risk prediction tools is well established. However, it is important to establish research protocols that can lead to results that can be translated to the clinical setting.
publisherThe American Society of Mechanical Engineers (ASME)
titleQuantitative Computed Tomography Protocols Affect Material Mapping and Quantitative Computed Tomography Based Finite Element Analysis Predicted Stiffness
typeJournal Paper
journal volume138
journal issue9
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4034172
journal fristpage91003
journal lastpage91003
identifier eissn1528-8951
treeJournal of Biomechanical Engineering:;2016:;volume( 138 ):;issue: 009
contenttypeFulltext


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