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    Quantitative Computed Tomography Protocols Affect Material Mapping and Quantitative Computed Tomography Based Finite Element Analysis Predicted Stiffness 

    Source: Journal of Biomechanical Engineering:;2016:;volume( 138 ):;issue: 009:;page 91003
    Author(s): Giambini, Hugo; Dragomir; Nassr, Ahmad; Yaszemski, Michael J.; Zhao, Chunfeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Quantitative 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 ...
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    The Effect of Quantitative Computed Tomography Acquisition Protocols on Bone Mineral Density Estimation 

    Source: Journal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 011:;page 114502
    Author(s): Giambini, Hugo; Dragomir; Huddleston, Paul M.; Camp, Jon J.; An, Kai; Nassr, Ahmad
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Osteoporosis is characterized by bony material loss and decreased bone strength leading to a significant increase in fracture risk. Patientspecific quantitative computed tomography (QCT) finite element (FE) models may be ...
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    PMMA Implants Increase Femoral Strength 

    Source: Journal of Medical Devices:;2008:;volume( 002 ):;issue: 002:;page 27552
    Author(s): Dan Dragomir-Daescu; Mark E. Bolander; Kevin E. Bennet; James T. Bronk; Sean McEligot
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The number of osteoporotic hip fractures is projected to increase two to three fold in the next 30years. This will lead to increased mortality and nursing home placement with significant costs ...
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    The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms 

    Source: Journal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 012:;page 121008
    Author(s): Berg, Philipp; Roloff, Christoph; Beuing, Oliver; Voss, Samuel; Sugiyama, Shin; Aristokleous, Nicolas; Anayiotos, Andreas S.; Ashton, Neil; Revell, Alistair; Bressloff, Neil W.; Brown, Alistair G.; Jae Chung, Bong; Cebral, Juan R.; Copelli, Gabriele; Fu, Wenyu; Qiao, Aike; Geers, Arjan J.; Hodis, Simona; Dragomir; Nordahl, Emily; Bora Suzen, Yildirim; Owais Khan, Muhammad; Valen; Kono, Kenichi; Menon, Prahlad G.; Albal, Priti G.; Mierka, Otto; Mأ¼nster, Raphael; Morales, Hernأ،n G.; Bonnefous, Odile; Osman, Jan; Goubergrits, Leonid; Pallares, Jordi; Cito, Salvatore; Passalacqua, Alberto; Piskin, Senol; Pekkan, Kerem; Ramalho, Susana; Marques, Nelson; Sanchi, Stأ©phane; Schumacher, Kristopher R.; Sturgeon, Jess;  vihlovأ،, Helena; Hron, Jaroslav; Usera, Gabriel; Mendina, Mariana; Xiang, Jianping; Meng, Hui; Steinman, David A.; Janiga, Gأ،bor
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD ...
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