Literature DB >> 35091024

MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review.

Saeed Jerban1, Salem Alenezi2, Amir Masoud Afsahi3, Yajun Ma3, Jiang Du4, Christine B Chung4, Eric Y Chang5.   

Abstract

Areal bone mineral density (aBMD) from dual-energy x-ray absorptiometry (DEXA) and volumetric bone mineral density (vBMD) have demonstrated limited capabilities in the evaluation of bone mechanical competence and prediction of bone fracture. Predicting the macroscopic mechanical behavior of the bone structure has been challenging because of the heterogeneous and anisotropic nature of bone, such as the dependencies on loading direction, anatomical location, and sample dimensions. Magnetic resonance imaging (MRI) has been introduced as a promising modality that can be coupled with finite element analysis (FEA) for the assessment of bone mechanical competence. This review article describes studies investigating MRI-based micro-FEA as a potential non-invasive method to predict bone mechanical competence and facilitate bone fracture risk estimation without exposure to ionizing radiation. Specifically, the steps, applications, and future potential of FEA using indirect and direct bone imaging are discussed.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  Cortical bone; MRI; Mechanical competence; Micro finite element analysis; Trabecular bone

Mesh:

Year:  2022        PMID: 35091024      PMCID: PMC8988995          DOI: 10.1016/j.mri.2022.01.009

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  102 in total

Review 1.  Magnetic resonance imaging of trabecular bone structure.

Authors:  Sharmila Majumdar
Journal:  Top Magn Reson Imaging       Date:  2002-10

2.  Finite element analysis applied to 3-T MR imaging of proximal femur microarchitecture: lower bone strength in patients with fragility fractures compared with control subjects.

Authors:  Gregory Chang; Stephen Honig; Ryan Brown; Cem M Deniz; Kenneth A Egol; James S Babb; Ravinder R Regatte; Chamith S Rajapakse
Journal:  Radiology       Date:  2014-04-02       Impact factor: 11.105

3.  Fast low-angle dual spin-echo (FLADE): a new robust pulse sequence for structural imaging of trabecular bone.

Authors:  J Magland; B Vasilic; F W Wehrli
Journal:  Magn Reson Med       Date:  2006-03       Impact factor: 4.668

4.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

5.  Quantification of vertebral bone marrow fat content using 3 Tesla MR spectroscopy: reproducibility, vertebral variation, and applications in osteoporosis.

Authors:  Xiaojuan Li; Daniel Kuo; Anne L Schafer; Anne Porzig; Thomas M Link; Dennis Black; Ann V Schwartz
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

6.  Quantitative (31)P NMR spectroscopy and (1)H MRI measurements of bone mineral and matrix density differentiate metabolic bone diseases in rat models.

Authors:  Haihui Cao; Ara Nazarian; Jerome L Ackerman; Brian D Snyder; Andrew E Rosenberg; Rosalynn M Nazarian; Mirko I Hrovat; Guangping Dai; Dionyssios Mintzopoulos; Yaotang Wu
Journal:  Bone       Date:  2010-02-24       Impact factor: 4.398

7.  Feasibility of three-dimensional MRI of proximal femur microarchitecture at 3 tesla using 26 receive elements without and with parallel imaging.

Authors:  Gregory Chang; Cem M Deniz; Stephen Honig; Chamith S Rajapakse; Kenneth Egol; Ravinder R Regatte; Ryan Brown
Journal:  J Magn Reson Imaging       Date:  2013-10-29       Impact factor: 4.813

8.  Influence of bone composition and apparent density on fracture toughness of the human femur and tibia.

Authors:  Y N Yeni; C U Brown; T L Norman
Journal:  Bone       Date:  1998-01       Impact factor: 4.398

9.  Homogenized finite element models can accurately predict screw pull-out in continuum materials, but not in porous materials.

Authors:  Mohammadjavad Einafshar; Ata Hashemi; G Harry van Lenthe
Journal:  Comput Methods Programs Biomed       Date:  2021-02-07       Impact factor: 5.428

10.  Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study.

Authors:  S C E Schuit; M van der Klift; A E A M Weel; C E D H de Laet; H Burger; E Seeman; A Hofman; A G Uitterlinden; J P T M van Leeuwen; H A P Pols
Journal:  Bone       Date:  2004-01       Impact factor: 4.398

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