139 related articles for article (PubMed ID: 19457486)
21. [Experimental research on the quantitative computed tomographic prediction of the compressive strength of the thoracolumbar vertebrae].
Biggemann M; Hilweg D; Brinckmann P
Rofo; 1989 Sep; 151(3):322-5. PubMed ID: 2552526
[TBL] [Abstract][Full Text] [Related]
22. Quantitative Computed Tomography Protocols Affect Material Mapping and Quantitative Computed Tomography-Based Finite-Element Analysis Predicted Stiffness.
Giambini H; Dragomir-Daescu D; Nassr A; Yaszemski MJ; Zhao C
J Biomech Eng; 2016 Sep; 138(9):0910031-7. PubMed ID: 27428281
[TBL] [Abstract][Full Text] [Related]
23. Accuracy of finite element analyses of CT scans in predictions of vertebral failure patterns under axial compression and anterior flexion.
Jackman TM; DelMonaco AM; Morgan EF
J Biomech; 2016 Jan; 49(2):267-75. PubMed ID: 26792288
[TBL] [Abstract][Full Text] [Related]
24. Osteoporosis imaging: effects of bone preservation on MDCT-based trabecular bone microstructure parameters and finite element models.
Baum T; Grande Garcia E; Burgkart R; Gordijenko O; Liebl H; Jungmann PM; Gruber M; Zahel T; Rummeny EJ; Waldt S; Bauer JS
BMC Med Imaging; 2015 Jun; 15():22. PubMed ID: 26113362
[TBL] [Abstract][Full Text] [Related]
25. Calibration of hyperelastic material properties of the human lumbar intervertebral disc under fast dynamic compressive loads.
Wagnac E; Arnoux PJ; Garo A; El-Rich M; Aubin CE
J Biomech Eng; 2011 Oct; 133(10):101007. PubMed ID: 22070332
[TBL] [Abstract][Full Text] [Related]
26. Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.
Zhang M; Gong H; Zhang K; Zhang M
Osteoporos Int; 2019 Nov; 30(11):2271-2282. PubMed ID: 31401661
[TBL] [Abstract][Full Text] [Related]
27. Removal of the cortical endplates has little effect on ultimate load and damage distribution in QCT-based voxel models of human lumbar vertebrae under axial compression.
Maquer G; Dall'Ara E; Zysset PK
J Biomech; 2012 Jun; 45(9):1733-8. PubMed ID: 22503577
[TBL] [Abstract][Full Text] [Related]
28. On prediction of the compressive strength and failure patterns of human vertebrae using a quasi-brittle continuum damage finite element model.
Nakhli Z; Hatira FB; Pithioux M; Chabrand P; Saanouni K
Acta Bioeng Biomech; 2019; 21(2):143-151. PubMed ID: 31741469
[TBL] [Abstract][Full Text] [Related]
29. QCT-based failure analysis of proximal femurs under various loading orientations.
Mirzaei M; Keshavarzian M; Alavi F; Amiri P; Samiezadeh S
Med Biol Eng Comput; 2015 Jun; 53(6):477-86. PubMed ID: 25731689
[TBL] [Abstract][Full Text] [Related]
30. A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro.
Dall'Ara E; Luisier B; Schmidt R; Kainberger F; Zysset P; Pahr D
Bone; 2013 Jan; 52(1):27-38. PubMed ID: 22985891
[TBL] [Abstract][Full Text] [Related]
31. Prediction of vertebral strength under loading conditions occurring in activities of daily living using a computed tomography-based nonlinear finite element method.
Matsumoto T; Ohnishi I; Bessho M; Imai K; Ohashi S; Nakamura K
Spine (Phila Pa 1976); 2009 Jun; 34(14):1464-9. PubMed ID: 19525837
[TBL] [Abstract][Full Text] [Related]
32. Prediction of strength and strain of the proximal femur by a CT-based finite element method.
Bessho M; Ohnishi I; Matsuyama J; Matsumoto T; Imai K; Nakamura K
J Biomech; 2007; 40(8):1745-53. PubMed ID: 17034798
[TBL] [Abstract][Full Text] [Related]
33. Validation of thoracic quantitative computed tomography as a method to measure bone mineral density.
Wong M; Papa A; Lang T; Hodis HN; Labree L; Detrano R
Calcif Tissue Int; 2005 Jan; 76(1):7-10. PubMed ID: 15455185
[TBL] [Abstract][Full Text] [Related]
34. Prediction of vertebral strength in vitro by spinal bone densitometry and calcaneal ultrasound.
Cheng XG; Nicholson PH; Boonen S; Lowet G; Brys P; Aerssens J; Van der Perre G; Dequeker J
J Bone Miner Res; 1997 Oct; 12(10):1721-8. PubMed ID: 9333134
[TBL] [Abstract][Full Text] [Related]
35. Burst fracture in the metastatically involved spine: development, validation, and parametric analysis of a three-dimensional poroelastic finite-element model.
Whyne CM; Hu SS; Lotz JC
Spine (Phila Pa 1976); 2003 Apr; 28(7):652-60. PubMed ID: 12671351
[TBL] [Abstract][Full Text] [Related]
36. Differences in Trabecular Microarchitecture and Simplified Boundary Conditions Limit the Accuracy of Quantitative Computed Tomography-Based Finite Element Models of Vertebral Failure.
Hussein AI; Louzeiro DT; Unnikrishnan GU; Morgan EF
J Biomech Eng; 2018 Feb; 140(2):0210041-02100411. PubMed ID: 29196764
[TBL] [Abstract][Full Text] [Related]
37. Clinical versus pre-clinical FE models for vertebral body strength predictions.
Pahr DH; Schwiedrzik J; Dall'Ara E; Zysset PK
J Mech Behav Biomed Mater; 2014 May; 33():76-83. PubMed ID: 23333770
[TBL] [Abstract][Full Text] [Related]
38. Mechanical evaluation by patient-specific finite element analyses demonstrates therapeutic effects for osteoporotic vertebrae.
Tawara D; Sakamoto J; Murakami H; Kawahara N; Oda J; Tomita K
J Mech Behav Biomed Mater; 2010 Jan; 3(1):31-40. PubMed ID: 19878900
[TBL] [Abstract][Full Text] [Related]
39. A biomechanical analysis of the effects of resorption cavities on cancellous bone strength.
Hernandez CJ; Gupta A; Keaveny TM
J Bone Miner Res; 2006 Aug; 21(8):1248-55. PubMed ID: 16869723
[TBL] [Abstract][Full Text] [Related]
40. Valid micro finite element models of vertebral trabecular bone can be obtained using tissue properties measured with nanoindentation under wet conditions.
Wolfram U; Wilke HJ; Zysset PK
J Biomech; 2010 Jun; 43(9):1731-7. PubMed ID: 20206932
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
