160 related articles for article (PubMed ID: 30833224)
1. A comparison of density-modulus relationships used in finite element modeling of the shoulder.
Knowles NK; Langohr GDG; Faieghi M; Nelson AJ; Ferreira LM
Med Eng Phys; 2019 Apr; 66():40-46. PubMed ID: 30833224
[TBL] [Abstract][Full Text] [Related]
2. Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation.
Knowles NK; Kusins J; Faieghi M; Ryan M; Dall'Ara E; Ferreira LM
Ann Biomed Eng; 2019 Nov; 47(11):2188-2198. PubMed ID: 31297723
[TBL] [Abstract][Full Text] [Related]
3. Development of a validated glenoid trabecular density-modulus relationship.
Knowles NK; G Langohr GD; Faieghi M; Nelson A; Ferreira LM
J Mech Behav Biomed Mater; 2019 Feb; 90():140-145. PubMed ID: 30366304
[TBL] [Abstract][Full Text] [Related]
4. Performance of QCT-Derived scapula finite element models in predicting local displacements using digital volume correlation.
Kusins J; Knowles N; Ryan M; Dall'Ara E; Ferreira L
J Mech Behav Biomed Mater; 2019 Sep; 97():339-345. PubMed ID: 31153115
[TBL] [Abstract][Full Text] [Related]
5. Full-field comparisons between strains predicted by QCT-derived finite element models of the scapula and experimental strains measured by digital volume correlation.
Kusins J; Knowles N; Ryan M; Dall'Ara E; Ferreira L
J Biomech; 2020 Dec; 113():110101. PubMed ID: 33171355
[TBL] [Abstract][Full Text] [Related]
6. Dependence of anisotropy of human lumbar vertebral trabecular bone on quantitative computed tomography-based apparent density.
Aiyangar AK; Vivanco J; Au AG; Anderson PA; Smith EL; Ploeg HL
J Biomech Eng; 2014 Sep; 136(9):091003. PubMed ID: 24825322
[TBL] [Abstract][Full Text] [Related]
7. Proximal Tibia Bone Stiffness and Strength in HR-pQCT- and QCT-Based Finite Element Models.
Knowles NK; Whittier DE; Besler BA; Boyd SK
Ann Biomed Eng; 2021 Sep; 49(9):2389-2398. PubMed ID: 33977411
[TBL] [Abstract][Full Text] [Related]
8. Vertebral strength prediction from Bi-Planar dual energy x-ray absorptiometry under anterior compressive force using a finite element model: An in vitro study.
Choisne J; Valiadis JM; Travert C; Kolta S; Roux C; Skalli W
J Mech Behav Biomed Mater; 2018 Nov; 87():190-196. PubMed ID: 30077078
[TBL] [Abstract][Full Text] [Related]
9. Prediction of local proximal tibial subchondral bone structural stiffness using subject-specific finite element modeling: Effect of selected density-modulus relationship.
Nazemi SM; Amini M; Kontulainen SA; Milner JS; Holdsworth DW; Masri BA; Wilson DR; Johnston JD
Clin Biomech (Bristol, Avon); 2015 Aug; 30(7):703-12. PubMed ID: 26024555
[TBL] [Abstract][Full Text] [Related]
10. Quantitative Computed Tomography (QCT) derived Bone Mineral Density (BMD) in finite element studies: a review of the literature.
Knowles NK; Reeves JM; Ferreira LM
J Exp Orthop; 2016 Dec; 3(1):36. PubMed ID: 27943224
[TBL] [Abstract][Full Text] [Related]
11. An exclusion approach for addressing partial volume artifacts with quantititive computed tomography-based finite element modeling of the proximal tibia.
Kalajahi SMH; Nazemi SM; Johnston JD
Med Eng Phys; 2020 Feb; 76():95-100. PubMed ID: 31870545
[TBL] [Abstract][Full Text] [Related]
12. Biomechanics of callus in the bone healing process, determined by specimen-specific finite element analysis.
Suzuki T; Matsuura Y; Yamazaki T; Akasaka T; Ozone E; Matsuyama Y; Mukai M; Ohara T; Wakita H; Taniguchi S; Ohtori S
Bone; 2020 Mar; 132():115212. PubMed ID: 31891786
[TBL] [Abstract][Full Text] [Related]
13. Prediction of the vertebral strength using a finite element model derived from low-dose biplanar imaging: benefits of subject-specific material properties.
Sapin-de Brosses E; Jolivet E; Travert C; Mitton D; Skalli W
Spine (Phila Pa 1976); 2012 Feb; 37(3):E156-62. PubMed ID: 22290213
[TBL] [Abstract][Full Text] [Related]
14. Finite element models predict cancellous apparent modulus when tissue modulus is scaled from specimen CT-attenuation.
Bourne BC; van der Meulen MC
J Biomech; 2004 May; 37(5):613-21. PubMed ID: 15046990
[TBL] [Abstract][Full Text] [Related]
15. The influence of boundary conditions and loading mode on high-resolution finite element-computed trabecular tissue properties.
Bevill G; Eswaran SK; Farahmand F; Keaveny TM
Bone; 2009 Apr; 44(4):573-8. PubMed ID: 19110082
[TBL] [Abstract][Full Text] [Related]
16. Orthotropic HR-pQCT-based FE models improve strength predictions for stance but not for side-way fall loading compared to isotropic QCT-based FE models of human femurs.
Luisier B; Dall'Ara E; Pahr DH
J Mech Behav Biomed Mater; 2014 Apr; 32():287-299. PubMed ID: 24508715
[TBL] [Abstract][Full Text] [Related]
17. Prediction of bone strength by μCT and MDCT-based finite-element-models: how much spatial resolution is needed?
Bauer JS; Sidorenko I; Mueller D; Baum T; Issever AS; Eckstein F; Rummeny EJ; Link TM; Raeth CW
Eur J Radiol; 2014 Jan; 83(1):e36-42. PubMed ID: 24274992
[TBL] [Abstract][Full Text] [Related]
18. Optimizing finite element predictions of local subchondral bone structural stiffness using neural network-derived density-modulus relationships for proximal tibial subchondral cortical and trabecular bone.
Nazemi SM; Amini M; Kontulainen SA; Milner JS; Holdsworth DW; Masri BA; Wilson DR; Johnston JD
Clin Biomech (Bristol, Avon); 2017 Jan; 41():1-8. PubMed ID: 27842233
[TBL] [Abstract][Full Text] [Related]
19. A CT-based high-order finite element analysis of the human proximal femur compared to in-vitro experiments.
Yosibash Z; Padan R; Joskowicz L; Milgrom C
J Biomech Eng; 2007 Jun; 129(3):297-309. PubMed ID: 17536896
[TBL] [Abstract][Full Text] [Related]
20. Experimental validation of finite element predicted bone strain in the human metatarsal.
Fung A; Loundagin LL; Edwards WB
J Biomech; 2017 Jul; 60():22-29. PubMed ID: 28668187
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
