Literature DB >> 21193070

3D hierarchical geometric modeling and multiscale FE analysis as a base for individualized medical diagnosis of bone structure.

L Podshivalov1, A Fischer, P Z Bar-Yoseph.   

Abstract

This paper describes a new alternative for individualized mechanical analysis of bone trabecular structure. This new method closes the gap between the classic homogenization approach that is applied to macro-scale models and the modern micro-finite element method that is applied directly to micro-scale high-resolution models. The method is based on multiresolution geometrical modeling that generates intermediate structural levels. A new method for estimating multiscale material properties has also been developed to facilitate reliable and efficient mechanical analysis. What makes this method unique is that it enables direct and interactive analysis of the model at every intermediate level. Such flexibility is of principal importance in the analysis of trabecular porous structure. The method enables physicians to zoom-in dynamically and focus on the volume of interest (VOI), thus paving the way for a large class of investigations into the mechanical behavior of bone structure. This is one of the very few methods in the field of computational bio-mechanics that applies mechanical analysis adaptively on large-scale high resolution models. The proposed computational multiscale FE method can serve as an infrastructure for a future comprehensive computerized system for diagnosis of bone structures. The aim of such a system is to assist physicians in diagnosis, prognosis, drug treatment simulation and monitoring. Such a system can provide a better understanding of the disease, and hence benefit patients by providing better and more individualized treatment and high quality healthcare. In this paper, we demonstrate the feasibility of our method on a high-resolution model of vertebra L3.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21193070     DOI: 10.1016/j.bone.2010.12.022

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  7 in total

Review 1.  Biomechanics and mechanobiology of trabecular bone: a review.

Authors:  Ramin Oftadeh; Miguel Perez-Viloria; Juan C Villa-Camacho; Ashkan Vaziri; Ara Nazarian
Journal:  J Biomech Eng       Date:  2015-01       Impact factor: 2.097

Review 2.  Advanced computational workflow for the multi-scale modeling of the bone metabolic processes.

Authors:  Tien Tuan Dao
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

Review 4.  MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review.

Authors:  Saeed Jerban; Salem Alenezi; Amir Masoud Afsahi; Yajun Ma; Jiang Du; Christine B Chung; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2022-01-25       Impact factor: 2.546

5.  A novel use of 3D printing model demonstrates the effects of deteriorated trabecular bone structure on bone stiffness and strength.

Authors:  Meir Max Barak; Margaret Arielle Black
Journal:  J Mech Behav Biomed Mater       Date:  2017-12-07

6.  Computationally-optimized bone mechanical modeling from high-resolution structural images.

Authors:  Jeremy F Magland; Ning Zhang; Chamith S Rajapakse; Felix W Wehrli
Journal:  PLoS One       Date:  2012-04-25       Impact factor: 3.240

7.  Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.

Authors:  Hossein Ahmadian; Prasath Mageswaran; Benjamin A Walter; Dukagjin M Blakaj; Eric C Bourekas; Ehud Mendel; William S Marras; Soheil Soghrati
Journal:  Int J Numer Method Biomed Eng       Date:  2022-04-26       Impact factor: 2.648

  7 in total

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